Data Analyst I Jobs

Principal Data Analyst - Risk Product Data

From $119,400/yr

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation * Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms * Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence * Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization * Drive analysis that provides meaningful insights on business strategies Data Management * Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions * Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report on data quality Our ideal candidate will have: * Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) * Experience utilizing and developing within AWS services Basic Qualifications: * Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. * At least 3 years of experience working with at least one scripting language * At least 3 years of experience utilizing a business intelligence visualization tool * At least 3 years of experience in querying, analyzing and working with data languages and platforms Preferred Qualifications: * Master’s Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of experience coding in Python, R, Spark, or SQL * At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. * At least 2 years of experience utilizing and developing within AWS services * At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $119,400 - $136,200 for Principal Data Analyst McLean, VA: $131,300 - $149,800 for Principal Data Analyst Richmond, VA: $119,400 - $136,200 for Principal Data Analyst Riverwoods, IL: $119,400 - $136,200 for Principal Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Data Analyst - Risk Product Data

From $119,400/yr

Principal Data Analyst - Risk Product Data At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation * Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms * Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence * Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization * Drive analysis that provides meaningful insights on business strategies Data Management * Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions * Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report on data quality Our ideal candidate will have: * Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) * Experience utilizing and developing within AWS services Basic Qualifications: * Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. * At least 3 years of experience working with at least one scripting language * At least 3 years of experience utilizing a business intelligence visualization tool * At least 3 years of experience in querying, analyzing and working with data languages and platforms Preferred Qualifications: * Master’s Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of experience coding in Python, R, Spark, or SQL * At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. * At least 2 years of experience utilizing and developing within AWS services * At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $119,400 - $136,200 for Principal Data Analyst McLean, VA: $131,300 - $149,800 for Principal Data Analyst Richmond, VA: $119,400 - $136,200 for Principal Data Analyst Riverwoods, IL: $119,400 - $136,200 for Principal Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Data Analyst - Risk Product Data

$119,400 - $149,800/yr

Posted Date 10/28/2026 Description Principal Data Analyst - Risk Product Data At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation * Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms * Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence * Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization * Drive analysis that provides meaningful insights on business strategies Data Management * Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions * Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report on data quality Our ideal candidate will have: * Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) * Experience utilizing and developing within AWS services Basic Qualifications: * Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. * At least 3 years of experience working with at least one scripting language * At least 3 years of experience utilizing a business intelligence visualization tool * At least 3 years of experience in querying, analyzing and working with data languages and platforms Preferred Qualifications: * Master’s Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of experience coding in Python, R, Spark, or SQL * At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. * At least 2 years of experience utilizing and developing within AWS services * At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $119,400 - $136,200 for Principal Data Analyst McLean, VA: $131,300 - $149,800 for Principal Data Analyst Richmond, VA: $119,400 - $136,200 for Principal Data Analyst Riverwoods, IL: $119,400 - $136,200 for Principal Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Principal Data Analyst - Risk Product Data At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation * Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms * Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence * Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization * Drive analysis that provides meaningful insights on business strategies Data Management * Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions * Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report on data quality Our ideal candidate will have: * Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) * Experience utilizing and developing within AWS services Basic Qualifications: * Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. * At least 3 years of experience working with at least one scripting language * At least 3 years of experience utilizing a business intelligence visualization tool * At least 3 years of experience in querying, analyzing and working with data languages and platforms Preferred Qualifications: * Master’s Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of experience coding in Python, R, Spark, or SQL * At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. * At least 2 years of experience utilizing and developing within AWS services * At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $119,400 - $136,200 for Principal Data Analyst McLean, VA: $131,300 - $149,800 for Principal Data Analyst Richmond, VA: $119,400 - $136,200 for Principal Data Analyst Riverwoods, IL: $119,400 - $136,200 for Principal Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Salary119,400.00 - 136,200.00 Annual Type Full-time

Data Business Analyst Lead

$65,000 - $130,000/yr

Accountabilities In this role, you will lead the development and continuous improvement of data visualization and reporting solutions, ensuring that business teams can use reliable insights to make informed decisions. Your responsibilities will include: Design, develop, and maintain dashboards and reporting tools using appropriate data extraction, cleaning, analysis, and visualization techniques. Translate business questions and objectives into actionable insights, reports, and effective data visualizations. Identify trends, patterns, and opportunities within complex datasets to transform raw information into practical business recommendations. Select, configure, and implement analytical solutions that promote consistency, scalability, and repeatability. Research and continuously improve data visualization methods, reporting tools, and analytical processes. Collaborate with business units, operational teams, and other stakeholders to enhance the usability, functionality, and presentation of deployed analytical solutions. Translate business requirements into technical specifications and assess existing visualization systems to identify opportunities for improvement. Develop intuitive visual representations of large datasets that help decision-makers understand complex information. Document data flows, systems, and processes to support the design, implementation, and management of business and operational workflows. Design tools and deliver training programs that help non-analytical users adopt reporting platforms and self-service analytics capabilities. Provide expert guidance, analytical assistance, and technical support to internal stakeholders. Exercise independent judgment to identify issues, investigate root causes, and implement appropriate solutions within established guidelines. Manage non-routine situations independently while maintaining a strong focus on quality and business priorities. Apply the organization's risk management framework when making decisions, protecting business assets and ensuring compliance with relevant policies, standards, procedures, laws, and regulations. Take on additional responsibilities as business needs evolve, contributing to broader organizational initiatives when required. Requirements The ideal candidate combines strong analytical capabilities with advanced data visualization and reporting expertise. You should be comfortable translating complex business needs into technical solutions, communicating insights to diverse audiences, and working independently in a collaborative environment. The following qualifications and skills are expected: Approximately 5–7 years of relevant professional experience, supported by a post-secondary degree in a related field or an equivalent combination of education and experience. Advanced technical knowledge and expertise developed through substantial academic training or professional experience. Strong understanding of technical design optimization, decision-making, and systems thinking. Intermediate-level skills in data visualization, data storytelling, data exploration, illustration, and creative thinking. Strong problem-solving, analytical reasoning, and data-driven decision-making abilities. Advanced capability in designing visualizations and presentations that communicate complex information clearly and effectively. Experience developing business presentations and producing analytical reports for different audiences. Excellent written and verbal communication skills, with the ability to explain technical findings in accessible business terms. Strong collaboration and teamwork skills, with the ability to work effectively across departments and stakeholder groups. Ability to identify business problems, evaluate potential solutions, and exercise sound judgment in non-routine situations. Strong organizational skills and the ability to manage priorities independently while maintaining attention to detail. Benefits Estimated annual salary range of CAD $65,000–$130,000 , depending on location, skills, experience, education, and qualifications. Potential eligibility for performance-based bonuses, discretionary bonuses, and other rewards as part of the total compensation package. Health insurance coverage. Tuition reimbursement. Accident and life insurance. Retirement savings plans. Remote working arrangement for eligible candidates based in Ontario, Canada. Access to training, coaching, leadership support, and networking opportunities. Opportunities for professional development and continuous skills growth. Inclusive, equitable, and accessible working environment, with accommodations available throughout the recruitment process upon request. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Analyst, Data Science

Role Title: Data Scientist (Analyst, Data Science) Location: Creechurch, London - UK Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. What you’ll achieve: As an Data Science Analyst, you will lead initiatives in advanced analytics, machine learning, and data-driven decision-making. You will design scalable models, optimize algorithms, and collaborate across teams to deliver actionable insights. You will champion innovation and ensure data science solutions align with business objectives. Join us to do the best work of your career and make a profound social impact as an Analyst on our Data Science team. You'll develop fundamental new approaches to generating meaning and value from internal data technologies, often working closely with business leaders and their supporting functions. You'll developd new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets from disparate data sources. You'll also seek to understand our stakeholder’s most urgent questions and uses statistical methods and models to provide answers or generate recommendations for process improvements and work with data engineers to create new tools and features that support sophisticated analytics within the database. Key Accountabilities * Designs, develops and programs methods, processes and systems to consolidate and analyze unstructured data to generate actionable insights and solutions * Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources * Constructs predictive models, algorithms and probability engines; verifies model and algorithm effectiveness based on actual results * Interacts with business leaders and team members to understand business strategy, conditions and problem areas * Contributes to business strategy and influences decision making based on information gained from deep dive analysis * Produces actionable \& compelling recommendations by interpreting, exploring, identifying and communicating insights discovered from complex data sets * Partners with both internal \& external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights Knowledge and Application * Learns to use industry standard data science and data engineer best practices * Applies knowledge and basic problem-solving techniques to define and resolve problems * Determines a course of action based on guidelines set forth by leadership and senior team members Problem Solving * Works on problems of limited scope * Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained * Work is reviewed periodically based on a set of defined procedures or precedence * Normally receives general instruction on work and new assignments Collaboration and Interaction * Interacts daily with subordinates and/or functional peer groups. Interaction normally involves exchange or presentation of factual information. * Conveys straightforward information to audiences. Technical/Additional Skills * Understanding of Python programming and other relevant languages (R, Java, SQL, DAX) * Understanding of PowerAutomate or equivalent automation applications * Ability to use standard Data Visualization tools (PowerBI) * Technical knowledge of machine learning and best practices * Computer Science or similar degree * Business case management and Business Analysis expertise * Excellent communication skills, with the ability to build long lasting relationships with key stakeholders You will: * Develop and deploy predictive models and machine learning algorithms. * Collaborate with stakeholders to translate business needs into data science solutions. * Ensure data integrity, governance, and compliance across projects. * Drive continuous improvement through experimentation and innovation. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements * 1+ years of related experience in a professional role or equivalent experience * Expertise in statistical modeling, machine learning, and data visualization. * Proficiency in Python/R and experience with big data platforms. * Strong analytical and problem-solving skills. * Excellent communication and collaboration abilities. Desirable Requirements * Bachelor’s degree in Data Science, Computer Science, or related field a plus * Certifications in AI/ML or cloud data platforms.

Senior Data Analyst

From $44,600/yr

Job Title: Senior Data Analyst Location: Stoke Gifford, Bristol Compensation: £44,600 - £55,800 Depending on Experience + Benefits Role Type: Full time / Permanent Role ID: SF75485 Shape the Future of Data-Driven Decision Making in UK Defence At Babcock we’re working to create a safe and secure world, together, and if you join us, you can play your part as a Senior Data Analyst at our Stoke Gifford, Bristol site. The role As a Senior Data Analyst, you’ll have a role that’s out of the ordinary. You'll have the opportunity to lead innovative software development, modelling and analytics projects that support one of the UK's most important defence programmes. Working at the heart of strategic submarine maintenance and disposal planning for the Royal Navy, you'll use advanced analytics and Python-based solutions to help inform critical business and operational decisions. Day-to-day, You’ll Be Required To * Lead and motivate a high-performing team to deliver software development and analytics services aligned to programme requirements. * Design innovative optimisation, modelling and algorithmic capabilities that support strategic planning and executive decision making. * Collaborate with stakeholders and analytics teams to provide meaningful insights, data visualisation and robust analytical products. * Prioritise and coordinate analytics and software workloads, ensuring effective resource allocation and responsiveness to changing customer needs. * Develop high-quality Python-based software, modelling and analytical solutions using best practice development methodologies. This role is based at Bristol and is 35 hours per week. Set working times are 7.5 hours Monday to Thursday and 5 hours on Friday, finishing at 12pm Essential Experience Of The Senior Data Analyst * Experience developing and delivering analytical solutions using Python. * Proven experience leading or managing small teams of data analysts and/or software developers. * Strong problem-solving and communication skills with the ability to explain complex concepts to diverse audiences. * Experience working collaboratively with multiple stakeholders and balancing changing priorities. * Proficiency in Microsoft Excel and Power BI for analysis and data visualisation Qualifications For The Senior Data Analyst * Degree in Data Science, Computer Science, Software Engineering, Mathematics, Physics, Computing, Information Technology or a related discipline Security Clearance The successful candidate must be a sole UK National who is able to achieve and maintain Security Check (SC) security clearance for this role. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (www.gov.uk) . What We Offer * Generous holiday allowance * Matched contribution pension scheme, with life assurance * Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+ * Employee share scheme * Employee shopping savings portal * Payment of Professional Fees * Reservists in the armed forces receive 10-days special paid leave * Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement. There is an annual Window to request this benefit. ‘Be Kind Day’ enables employees to take one working day's paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity * Excellent development opportunities and benefits package including an employee assistance programme supporting physical, mental and financial wellbeing. Babcock We’re Babcock — a global FTSE 100 organisation with over 29,000 people working together to make a difference. Here, you’ll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we’re building a future that lasts — not just through the impact we make, but through meaningful careers that respect your work-life balance. We call that lifetime engineering. Join us and see how far we can go, together. We are a disability confident, committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email careers@babcockinternational.com with the subject header ‘Reasonable adjustments requirement’. We’re committed to building an inclusive culture where everyone’s free to thrive. We are happy to talk about flexible working – please ask about alternative patterns of work at interview. Closing date: 19/10/2026 #BABDESTNUC

Data Analyst

MANTECH seeks a motivated, career and customer-oriented Data Analyst to join our team in Springfield, VA . This is a full-time onsite position. The Data Analyst shall support the maintenance of data holdings, ensure compliance to data standards, and perform quantitative analysis of data. Data analysis will involve transforming data, developing visuals to assist with data understanding, and conducting analysis to make recommendations on data strategies to improve Machine Learning (ML) model development. Responsibilities Include, But Are Not Limited To * Collaboration to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity. * Lead and conduct projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data. * Support data analytics, data cleaning, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities. * Apply statistical and analytic methods to support answering intelligence questions, mission requirements, and advanced data analysis. * Build lightweight analytic tools to visualize data metrics and assess progress of data preprocessing efforts against Government goals * Design methods and mechanisms to track, report, and monitor data in order to ensure pipeline movements are timely and support all necessary processes. * Develop system to provide automated checks on data and processes to guarantee continuous pipeline support. * Ingest and rectify non-standard data and data in formats that are new within the Data Management Platform (DMP), for integration and curation. * Generate and manage data dictionaries to ensure information stays updated as data tables change * Provide data analysis expertise for assistance in determining if imagery curation techniques and strategies are effective in identifying images of value (e.g., containing objects of interest or specific imagery characteristics) Minimum Qualifications * 5+ years of experience; BA can account for 3 years while a MA/MS can account for an added 2 years of experience. * Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets. * Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau. * Experience developing visualizations to communicate analytical results and to assist technical and non-technical audiences in understanding information from large datasets. Preferred Qualifications * Experience working in AI/ML-relevant fields related to imagery exploitation Clearance Requirements * An active TS/SCI clearance with the ability to obtain and maintain a polygraph Physical Requirements * Must be able to remain in a stationary position for extended periods while performing imagery analysis and reporting. * Must be able to occasionally move about the work area to collaborate with team members and access mission systems.

Data Analyst

From $70,000/yr

At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked #30 in the National Law Journal’s survey of the nation’s largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. Summary Data Analyst opportunity focused on turning raw data into meaningful business insights. In this role, you will collect, transform, and analyze data from multiple sources, uncover trends and patterns and present your findings in ways that help leadership make informed business decisions. The ideal candidate combines strong analytical thinking with proficiency in data visualization tools and excellent communication skills – able to make complex data clear and actionable in support of the business. Key Responsibilities * Collect, clean, and validate data from multiple sources to ensure accuracy and consistency. * Analyze large datasets to identify trends, patterns, and business opportunities. * Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. * Write and optimize SQL queries to extract and manipulate data. * Collaborate with business stakeholders to understand reporting requirements and provide actionable insights. * Monitor key performance indicators (KPIs) and prepare regular performance reports. * Identify data quality issues and recommend improvements to data collection and management processes. * Present findings and recommendations to technical and non-technical audiences. * Support forecasting, budgeting, and strategic planning through data analysis. Qualifications * Bachelor’s degree in Data Analytics or related field. * 1–4 years of experience in data analysis or a similar role. * Proficiency in SQL for querying and managing databases. * Advanced knowledge of Microsoft Excel. * Experience with data visualization tools such as Power BI or Tableau. * Strong analytical, problem-solving, and critical thinking skills. * Excellent written and verbal communication skills. * Ability to manage multiple projects and meet deadlines. Preferred Qualifications * Experience with Python or R for data analysis and automation. * Familiarity with cloud platforms such as AWS or Azure. * Knowledge of data warehousing and ETL processes. * Experience working with large datasets and business intelligence tools. . Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally.A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: : $70,000 USD - $85,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan* Career Growth: Ample opportunities for professional development and advancement* Employee Perks: Access to corporate discount plans and other benefits* Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at talentacquisition@wilsonelser.com. Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here. Wilson Elser participates in the federal E-Verify program. With respect to all new hires, we provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. Please review the official posters for detailed information regarding your rights and protections Download the E-Verify Participation Poster (English \& Spanish)* Download the Right to Work Poster (English \& Spanish)* #ZR

Principal Data Business Analyst - Customer 360 & Graph Intelligence

From $360/yr

Location :Gothenburg, Sweden Work Model: Hybrid (Office Based) Experience: 8+ years Education :Bachelor's minimum Joining :Immediate joiners preferred We are looking for a Principal Data Business Analyst - Customer 360 \& Graph Intelligence to support the development of an enterprise-wide platform connecting customer, account, asset, product, contract, finance, service, and interaction data across multiple business areas. The successful candidate will act as a key bridge between business stakeholders and technical teams, identifying and defining high-value Customer 360 and Graph Intelligence use cases, gathering business and data requirements, and translating them into actionable capabilities. The role requires a strong combination of business analysis, enterprise data understanding, stakeholder management, workshop facilitation, and requirements definition. Responsibilities 1. Engage with stakeholders across multiple business areas, brands, regions, and functions to identify Customer 360, Key Account, Cross-Business, and Graph Intelligence use cases. 2. Define and document user personas, business processes, workflows, user journeys, KPIs, success criteria, and expected business outcomes. 3. Create and maintain high-quality business analysis artifacts, including Business Requirements Documents (BRDs), functional specifications, process flows, use cases, and user stories. 4. Analyze relationships between customer, account, organizational, fleet/asset, product, contract, finance, service, parts, and interaction data. 5. Support the definition of Customer 360 and Graph Intelligence capabilities for Key Account Management, customer loyalty, Share of Wallet, cross-sell, customer retention, and risk insights. 6. Manage stakeholder feedback and clarification during solution design, development, UAT, rollout, and adoption. 7. Assess and prioritize potential use cases based on business value, data availability, technical feasibility, adoption potential, and strategic alignment. 8. Support product roadmap planning, MVP definition, backlog refinement, and prioritization activities. 9. Assist in developing business cases, value hypotheses, and measurable outcomes for future data and analytics investments. 10. Support continuous improvement of Customer 360 and Graph Intelligence capabilities and contribute to building reusable enterprise-wide data products. Must-Have Skills ===================== 1. 8+ years of relevant professional experience, including significant experience in Business Analysis, Data Business Analysis, Data Management, Data \& Analytics, CRM, enterprise applications, or related areas. 2. Proven experience working at Senior, Lead, Principal, or equivalent level on complex enterprise initiatives. 3. Strong hands-on experience gathering, analyzing, documenting, validating, and managing business, functional, and data requirements. 4. Hands-on experience creating user stories, use cases, Business Requirements Documents, functional specifications, process flows, workflows, and acceptance criteria. 5. Strong experience facilitating business workshops, discovery sessions, requirements workshops, and stakeholder interviews. 6. Strong stakeholder management experience with the ability to work across multiple business units, product teams, technical teams, and senior stakeholders. 7. Experience working with enterprise data platforms, analytics solutions, CRM/customer data solutions, master data, or enterprise applications. 8. Strong understanding of customer and account data, including relationships between customers, accounts, products, services, contracts, transactions, or other enterprise entities. 9. Ability to translate complex business problems into clearly defined business use cases and actionable requirements for technical teams. 10. Experience defining KPIs, success criteria, business outcomes, and measurable value for business/data initiatives. 11. Experience supporting the complete delivery lifecycle, including discovery, requirements, design, development clarification, UAT, rollout, and stakeholder feedback. 12. Strong analytical and problem-solving skills with the ability to understand complex business processes and data relationships. 13. Experience supporting use-case prioritization, MVP definition, backlog management, or roadmap planning. 14. Ability to communicate effectively with both business and technical stakeholders, including product owners, architects, engineers, and data teams. 15. Experience working in large, complex, cross-functional or multinational enterprise environments. 16. Experience with graph databases, knowledge graphs, Graph Intelligence, or relationship-centric data models. Good-to-Have Skills ========================= 1. Experience with Customer 360 / Single Customer View solutions or initiatives. 2. Knowledge of Key Account Management processes and enterprise customer relationship models. 3. Experience with Customer Master Data, Master Data Management (MDM), account hierarchies, customer hierarchies, or entity relationships. 4. Experience with customer insights such as customer loyalty, Share of Wallet, cross-sell, retention, segmentation, risk, or next-best-action use cases. 5. Experience with data quality, data remediation, data governance, metadata, or data lineage concepts. 6. Familiarity with cloud-based data and analytics platforms. 7. Experience using Azure DevOps, Confluence, Jira, or similar enterprise product delivery and collaboration tools. 8. Exposure to Agile/Scrum and enterprise product development frameworks. 9. Experience working with global organizations involving multiple countries, brands, business units, or regional stakeholders. 10. Experience developing business cases, value hypotheses, benefits assessments, or investment proposals for data initiatives. 11. Familiarity with CRM, Customer Data Platforms (CDPs), analytics, reporting, or enterprise data products. 12. Practical adoption of AI and Generative AI tools to improve workplace productivity, analysis, documentation, requirements management, or stakeholder engagement. 13. Experience in automotive, manufacturing, financial services, fleet management, mobility, or another complex B2B enterprise environment would be an advantage. Education ============= 1. Minimum Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related field. 2. A Master's degree, MBA, or relevant professional certifications in Business Analysis, Data Management, Product Management, Agile, or Data \& Analytics are advantageous but not mandatory. 5ECCBtMYmA

Lead Data Analyst (EL1)

From $202/yr

Employment typeContract CategoryBusiness Analysis Security clearanceNV1 LocationCanberra, Sydney, Melbourne, Brisbane, Adelaide, Hobart, Darwin, ACT Applications close2 Nov 2026 About the role The NDIA's title for this position is EL1 Data Analyst. It provides specialist data analysis, data discovery and data delivery support for complex ICT programs, projects and digital services. Working in multidisciplinary delivery teams, the role examines complex data from internal and external sources, defines how data should be interpreted and used, and translates business needs into clear data requirements, mappings, rules and analytical outputs. You will work closely with business owners, data engineers, business analysts, architects, developers, testers and technical specialists across the end-to-end data lifecycle, from source discovery and profiling through to ingestion, validation, reconciliation, reporting and production support. The buyer has confirmed this is a new position, not a backfill, and that the role will primarily use SAS, SAS Studio and Snowflake, with a focus on SQL-based data analysis, mapping, transformation, validation and data quality. Snowflake is a key source platform for the data the role works with. Estimated start 7 December 2026. 12-month initial contract with one 12-month extension option. 37.5 hours per week. Hybrid working is available subject to negotiation with the line manager, in line with current NDIA policy — a minimum of three days each week in the office, with flexible arrangements for the remaining two. Applications must respond to each essential and desirable criterion below individually, in up to 3,000 characters each. The proposed rate should reflect the candidate's skills and experience against those criteria; candidates who do not demonstrate them will not be assessed. You must be able to obtain a Negative Vetting Level 1 security clearance. Australian citizenship is mandatory. The successful candidate must provide evidence of citizenship during the pre-engagement check. Responsibilities * Lead data discovery and profiling across complex internal and external datasets to understand their structure, content, quality, lineage, relationships, constraints, sensitivity and fitness for purpose. * Work with business and technical stakeholders to identify required data, clarify its business meaning, define its intended use, and translate business outcomes into detailed data requirements and agreed data contracts. * Develop and maintain source-to-target mappings, data dictionaries, field definitions, data contracts, transformation rules, join logic, filtering rules, matching logic and other implementation-ready data specifications. * Analyse data using SQL and relevant analytics tools to identify duplicates, outliers, nulls, invalid values, inconsistent formats, referential issues and other data quality concerns. * Define practical options for cleansing, standardising, transforming, matching, de-duplicating and reconciling data, including exception handling, rejected records, historical data, initial and incremental loads and refresh processes. * Collaborate with data engineers and developers to translate approved mappings, data contracts and business rules into implementable ingestion, integration, migration and transformation logic, maintaining end-to-end traceability. * Support the design and delivery of data pipelines, bulk ingestion, system integrations, migrations and data refreshes across cloud and on-premises environments by clarifying requirements, resolving data questions and reviewing technical outcomes. * Prepare reusable datasets, SQL queries, analytical code, scripts, notebooks and supporting artefacts for profiling, transformation, reconciliation, testing and controlled implementation. * Validate source and target data against approved mappings and data contracts, reconcile counts and key measures, investigate failed or incomplete loads, and help resolve defects, exceptions and production data issues. * Work with testers and business representatives to develop test scenarios, expected results and traceability from approved data requirements and mapping rules. * Produce clear analysis, dashboards, reports, visualisations and written advice for technical and non-technical audiences where the program or project requires it. * Identify and communicate data risks, assumptions, dependencies, limitations and gaps early, with evidence-based options and recommendations for delivery teams and senior stakeholders. * Apply data governance, privacy, security, records management and information handling requirements throughout analytical and delivery activities, and contribute to continuous improvement of data standards, documentation, reusable methods and quality controls. Skills \& experience * Demonstrated extensive experience undertaking data discovery, profiling and analysis across complex datasets in an ICT, digital transformation or data delivery environment. * Strong practical experience using SQL and contemporary data analysis tools to interrogate complex data, develop analytical code or scripts, identify quality issues and undertake detailed technical investigation. * Demonstrated experience developing source-to-target mappings, data contracts, data definitions, transformation and business rules, join and matching logic, exception handling and other implementation-ready data specifications. * Demonstrated experience across the end-to-end data lifecycle: discovery, lineage and traceability, ingestion or integration, migration, initial and incremental loads, validation, reconciliation, defect investigation and implementation support. * Demonstrated ability to translate complex business and technical requirements into clear data artefacts and delivery specifications, communicating effectively with business stakeholders, engineers, architects, developers and testers. * Strong analytical, problem-solving, documentation and stakeholder engagement skills, with the ability to work independently at EL1 level and collaboratively in multidisciplinary delivery teams. Nice to have * Experience with SAS Viya or SAS Studio, Snowflake, SQL, Python, Power BI, Talend, Azure data services or comparable data and analytics technologies. * Experience supporting large-scale data migration, bulk ingestion, cloud data platforms, system integration, data refresh or digital transformation initiatives in a complex environment. * Experience with data modelling, entity and relationship data, reference data, de-duplication, matching, lineage or reconciliation approaches. * Knowledge of Australian Government data governance, privacy, security and information management requirements. Company Overview Please visit https://wattlecore.com.au for more information

CX Data & Intelligence Analyst

$110,186 - $194,381/yr

Accountabilities: Lead customer experience measurement, analytics, reporting, and insight-generation activities, acting as a subject matter expert in CX intelligence. Ensure the accuracy, integrity, quality, and governance of customer feedback, survey, CRM, operational, and business data. Develop integrated views of the customer experience by combining information from multiple data sources and analytical models. Design, build, and maintain dashboards, scorecards, and reporting solutions that deliver descriptive, diagnostic, and predictive insights. Develop analytical frameworks to identify customer behavior trends, performance drivers, business risks, and opportunities for improvement. Act as the primary expert for Qualtrics reporting, dashboard development, and customer experience analytics solutions. Manage website feedback initiatives, including quarterly website pop-up surveys and other targeted customer feedback projects. Coordinate with Digital Channel and IT teams to ensure surveys are properly configured and integrated with existing systems and website environments. Provide technical leadership for integrating customer experience survey data with CRM and operational datasets. Serve as a key technical point of contact for internal stakeholders, analytics teams, shared services, digital teams, and external survey platform providers. Translate complex business questions into structured analytical approaches and practical, data-driven recommendations. Support strategic planning and business decision-making by delivering relevant customer intelligence and actionable reporting. Advise and educate stakeholders on Qualtrics capabilities, CX metrics, reporting standards, analytical best practices, and customer feedback methodologies. Requirements: Bachelor's degree in Business, Analytics, Data Science, Statistics, Customer Experience, Marketing, or a related discipline, or equivalent professional experience. At least 5 years of experience in customer insights, business intelligence, data analytics, customer experience, or a related field. Strong expertise in survey-based research, including research design, sampling methodologies, data quality control, bias assessment, and survey interpretation. Experience with predictive modelling, customer segmentation and clustering, multivariate analytics, and unstructured data processing. Demonstrated hands-on experience with Qualtrics programs, reporting capabilities, and dashboard development. Strong analytical and problem-solving skills, with the ability to translate complex business challenges into meaningful insights and actionable recommendations. Experience working with diverse datasets, including survey, CRM, ERP, operational, and business information. Solid understanding of Customer Experience (CX), Voice of Customer (VoC) programs, customer feedback initiatives, and customer insight methodologies. Excellent communication, presentation, and stakeholder management skills, with the ability to explain complex analytical findings to both technical and non-technical audiences. Strong business acumen and the ability to influence decisions through data storytelling and evidence-based recommendations. Ability to work collaboratively across technical and business teams while managing multiple analytical projects and priorities. The following qualifications are considered an advantage: Qualtrics XM Certification. Experience with business intelligence and data visualization platforms such as Power BI, Tableau, Qlik, or Spotfire. Knowledge of SQL, Python, or other analytical programming and data manipulation tools. Experience with customer journey analytics, predictive analytics, text analytics, and advanced reporting methodologies. Familiarity with customer experience performance indicators, including Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Voice of Customer measurement programs. Benefits: Competitive salary: Annual compensation ranging from CAD $110,186 to $194,381, depending on location, relevant experience, qualifications, and job-related skills. Performance incentives: Eligibility for additional bonuses and stock-based compensation. Comprehensive benefits: Access to an employee benefits package designed to support health, financial security, and overall well-being. Remote flexibility: Option to work remotely within Canada. Full-time employment: Permanent, full-time opportunity with a daytime schedule. Professional development: Opportunities to strengthen your expertise in customer intelligence, analytics, and emerging technologies. International environment: Collaborate with colleagues and stakeholders across different teams and locations. Meaningful impact: Contribute to customer-focused initiatives that support innovation, operational excellence, and better business decisions. Inclusive workplace: Join an environment that values diversity, mutual respect, integrity, and equal employment opportunities. Limited travel: Occasional travel may be required depending on business needs. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Senior Data Analyst, GTM Operations

From $100,000/yr

7shifts is a scheduling and payroll platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected \& engaged teams. As the Senior Data Analyst at 7shifts, you’ll be the analytical partner to our Go-to-Market and Finance teams. Reporting to our Manager, Data \& Analytics, you’ll work alongside analysts, data engineers, and analytics engineers, partnering closely with GTM Operations and Finance. Your role is to ensure the teams driving revenue and managing our finances have data they can trust and the insight to act on it. Most of your time will go toward strategic projects that improve how GTM and Finance operate - reducing manual work, creating clearer definitions, and making it faster to get answers. You’ll also build and maintain the data assets these teams rely on and help them self-serve, so simple questions don’t become tickets. You’re a consultant to the business, not a request queue: you bring the context, recommend the approach, and drive cross-functional work forward. What you'll do * Own GTM and Finance analytics end-to-end, from scoping the question to pulling data from Snowflake, Stripe, Salesforce, and FinQore, and landing on a recommendation leaders can act on * Lead strategic projects that improve how GTM and Finance operate, coordinating across analysts, engineers, and business partners * Build and maintain the dashboards, reports, and metric definitions teams rely on as a source of truth, ensuring data stays consistent across the company * Enable self-serve by making data and tooling easier for GTM and Finance to use independently * Use AI as part of your daily workflow to accelerate analysis, leverage the semantic layer for faster insights, and find new ways to make the team more efficient * Mentor teammates and contribute to shared standards for how the team scopes, builds, and validates its work * Help shape the analytics roadmap by bringing GTM and Finance needs back to the Data team What you bring * 5+ years in data analytics or business intelligence, with strong experience in financial or go-to-market reporting * Experience owning complex, ambiguous analysis end to end and translating it into business decisions * Strong SQL in a modern warehouse (Snowflake or equivalent) and comfort with a BI tool (ThoughtSpot or equivalent); able to work across multiple systems and learn new ones quickly * Experience working with the systems behind the numbers, such as Stripe, Salesforce, FinQore, or equivalent platforms * Fluency in SaaS metrics like ARR, retention, and pipeline, with the judgment to connect analysis to revenue, cost, and operating outcomes * Active use of AI in analytical work, with a clear understanding of where it adds value and where its output needs to be checked * Strong cross-functional skills and the ability to influence decisions without owning them; people come to you for the recommendation, not just the query * Experience mentoring other analysts on analytical methods, SQL, or AI, formally or informally It'd be even cooler if you had * Experience building AI agents or enabling AI adoption at a previous company * Experience in the restaurant or hospitality industry * An interest in growing into people leadership Compensation The base compensation range for this position is CAD $100,000 - CAD $150,000. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow. Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process. Our commitment to our Shifties: * Opportunity: Our product is evolving in exciting ways, and we’re focused on delivering even more value to restaurants. This momentum creates real opportunities to learn and grow. Whether you’re honing your craft or exploring new paths, you’ll be supported and empowered to own your growth and impact a product shaping the future of the restaurant industry. * Challenge: We’re tackling real problems in a fast-moving, complex industry. The work is scrappy and ambiguous, but meaningful. You’ll think critically, act with intention, and shape solutions that make a real difference for restaurant teams. * Culture: We’re proud to be recognized among the best workplaces in North America. Guided by our mission and values, we move fast to solve meaningful problems and celebrate wins together. Whether through in-office and remote events, team offsites like Sparks, or everyday moments of connection, we create space for shared growth, collaboration, and fun. * Equity: We’re a Series C, VC-backed SaaS company, and we believe everyone should share in the success they help create. When we build together, we grow together. * Health and Wellness: We support Shifties in and outside of work, knowing that what people need can change over time. From day one, you’ll have access to benefits like health and dental, lifestyle spending accounts to a parental leave program built with flexibility in mind, to help you bring your best self to work. * Flexibility: Our team is intentional around how and where we work, whether remotely, in person, or a mix of both. We prioritize candidates who thrive in a hybrid work environment with offices in Saskatoon and Toronto, ensuring in-person collaboration and connection when possible. Plus, we offer a flexible vacation policy to encourage everyone to recharge when needed. Oh, and our ‘90 Day Shift’ program lets Shift work from (almost) anywhere because who wouldn’t want to trade their desk for a beach view once in a while? * Support: We set Shifties up for success with the tools they need, like the latest Apple tech, a home office setup, and some 7shifts swag to make it official. But support goes beyond day one. We’re serious about professional growth, offering coaching, feedback, development planning, and opportunities to grow from within. We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds. We thank you for your interest in joining the 7shifts team!

Data / GIS Analyst (Anticipated Position)

Position: Data / GIS Analyst (Anticipated Position) Location : Stuttgart, Germany (SOCAFRICA HQ) Clearance Required: Active TS/SCI (required prior to start) * Note: This position has not yet been funded. We are currently soliciting resumes from interested candidates in anticipation of a contract award. Background Navanti is seeking a Data / GIS Analyst to support a U.S. government customer by providing data-driven and geospatial analysis to inform operational planning, strategic assessments, and senior leader decision-making. The analyst will work as part of a multidisciplinary team to integrate, analyze, and visualize complex datasets related to security cooperation activities, partner force development, and regional dynamics across the African AOR. The selected candidate will support both classified and unclassified analytical efforts, contributing to the development of decision-quality products that translate complex data into actionable insights for planners and leadership. The role requires the ability to operate at the intersection of data analytics, geospatial analysis, and operational context. Required Qualifications * Bachelor’s degree in Data Science, Geography, GIS, International Relations, Intelligence Studies, or a related field * 5+ years (mid to senior level) of relevant professional experience in data analysis, geospatial analysis, or intelligence analysis * Active TS/SCI clearance (required prior to start) * Proficiency in GIS tools (e.g., ArcGIS, QGIS) to develop spatial products and conduct geospatial analysis * Data analysis using tools such as Python, R, SQL, and Excel * Develop data visualizations using platforms such as Tableau, Power BI, or similar tools * Aggregate, clean, and analyze structured and unstructured datasets from multiple sources * Produce analytical outputs (reports, maps, briefings) tailored to decision-making audiences * Experience supporting U.S. Government, DoD, or defense contractor environments Desired Skills And Experience * Support to Geographic Combatant Command or Special Operations environments * Work within programs or operations focused on the Africa AOR * Use of DoD systems such as Palantir, TRESTLE, G-TSCMIS, JCRM, or similar platforms * Apply geospatial analysis to operational or campaign planning processes * Apply PMESII-PT or similar frameworks to structure regional or environmental analysis * Develop and track measures of effectiveness (MOEs) tied to operational objectives * Conduct data collection and validation during exercises or field engagements * Operate in classified environments (e.g., SIPR, JWICS) * Deliver briefings and presentations to senior-level audiences Education * Bachelor’s degree required; Advanced degree (Master’s or higher) preferred Equal Opportunity Statement Navanti Group, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. #CJ

Master Data Analyst

From $100/yr

embecta is a global medical device company with a 100-year legacy in insulin delivery and diabetes care. Driven by innovation, purpose, and a commitment to improving lives, we are expanding our portfolio of solutions to serve even more patients, healthcare providers, and communities around the world. We are looking for a Master Data Specialist to own and optimize the data foundations that support reporting, analytics, and business decision-making across our international business. You will be responsible for integrating data from Salesforce, SAP, IQVIA, and other key systems into a centralized, trusted, and scalable data environment. This role will lead the management of customer master data, account hierarchies, territory mappings, and reporting structures across more than 100 countries. You will drive improvements in data quality, governance, and automation while enhancing Power BI and Excel reporting capabilities to deliver accurate, actionable business insights. Working closely with Commercial Excellence, IT, Finance, Supply Chain, and regional teams, you will help standardize data processes, support Salesforce data management, and identify opportunities to leverage automation and AI technologies, including Microsoft Copilot. This is an exciting opportunity for a data professional who enjoys turning complex data into meaningful business value. Key Responsibilities Data Integration \& Extract, Transform \& Load Pipelines * Design, build, and maintain ETL processes connecting Salesforce, IQVIA, SAP, and additional data sources. * Develop automated, schedule‑based data pipelines with robust error‑handling and alerting mechanisms. * Centralize all locally purchased data assets (e.g., IQVIA) into a single environment * Support the Monthly Business Review (MBR) data pipeline and reporting infrastructure. Data Cleaning \& Quality Assurance * Implement standardized data‑cleaning protocols and validation frameworks. * Identify and resolve data‑quality issues at source or within transformation layers. * Build and maintain data‑quality dashboards and metrics to monitor ongoing data health across all regions. Salesforce \& Customer Relationship Management (CRM) Data Management * Maintain accurate account hierarchies and customer master data in Salesforce. * Troubleshoot issues related to Salesforce‑to‑analytics data synchronization. * Ensure data consistency across all Salesforce environments and connected systems. Account Mapping \& Customer Master Data * Maintain and update global account hierarchies and territory mappings. * Develop and enforce standardized account‑naming conventions across regions. * Create and manage account‑to‑cluster mapping tables. * Manage account mergers, divestitures, and organizational structure changes. Power BI Infrastructure \& Optimization * Set up and optimize Power BI data models, using both DirectQuery and Import modes. * Create reusable templates and design standards to support scalable Power BI development. * Monitor and improve query performance across Power BI datasets and semantic models. AI \& Automation Opportunities * Identify and implement automation opportunities to reduce manual data‑processing workload. * Evaluate AI‑enabled features (e.g., Microsoft Copilot) in collaboration with IT to enhance data workflows. * Develop scripts or tools to automate repetitive validation and transformation tasks. Education And Experience * Third-level qualification (Bachelor's degree or equivalent) in Data Analytics, Computer Science, Information Systems, Business Analytics, Engineering, Mathematics, or a related field. Analytics Tools \& Platforms * Proficiency in Power BI including advanced DAX measures, calculated tables, and complex data‑modelling formulas. * Strong command of Microsoft Excel for data manipulation, analysis, and model building. * Working knowledge of the Salesforce ecosystem, including custom fields, workflows, data models, and data‑quality structures. * Familiarity with IQVIA, SAP, and other data systems commonly used in pharmaceutical and medical device environments. * Strong problem‑solving mindset with a high level of attention to detail. * Ability to work independently, prioritize tasks, and manage multiple projects simultaneously. * Excellent communication skills, with the ability to translate technical concepts into business‑friendly language. * Collaborative approach to partnering with regional teams, business analysts, and cross‑functional stakeholders. * Strong documentation discipline and a process‑oriented working style. Desirable Skills Experience with Python or R for data manipulation and automation. embecta is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

Data Product Analyst

Accountabilities Act as the subject matter expert for international data, developing an in-depth understanding of the end-to-end data supply chain through hands-on involvement in incoming requests and production incidents. Build trust in data by partnering with business and marketing stakeholders to investigate discrepancies, resolve issues, and improve confidence in data accuracy and reliability. Query, trace, and validate information from multiple sources to investigate anomalies, respond to ad hoc requests, identify trends, and uncover actionable insights. Translate analytical findings into clear, business-friendly explanations that support decision-making and anticipate stakeholders’ follow-up questions. Elicit, document, and manage business, functional, and non-functional requirements through stakeholder interviews, workshops, process analysis, and user story development. Create detailed intake documentation that captures business needs, technical expectations, dependencies, and relevant edge cases. Own delivery throughout the development lifecycle by coordinating with data engineering, tracking progress, validating completed work against requirements, and proactively driving issues to resolution. Support prioritization decisions by evaluating business value, operational impact, technical complexity, and delivery risks. Maintain requirements traceability from initial intake through development, testing, deployment, and production monitoring. Collaborate with data analysts, architects, and engineers to ensure data solutions accurately reflect business context, intended use cases, and stakeholder expectations. Define comprehensive acceptance criteria and user acceptance testing (UAT) scenarios, including data accuracy, completeness, integrity, and edge cases. Support user validation, provide structured feedback, and identify opportunities to improve data products and delivery processes. Monitor and improve data quality through profiling, validation, remediation, and alignment with business priorities. Build and maintain business-rule monitoring mechanisms and alerts to detect logic-related issues that may not be identified by standard engineering checks. Review historical incidents and monitoring gaps to strengthen controls and reduce the likelihood of recurring data issues. Participate in production support group (PSG) discussions and release go/no-go meetings to understand upcoming changes that may affect data quality or reporting. Manage time and availability effectively by prioritizing meeting participation, reviewing recordings when appropriate, and communicating scheduling constraints or workload concerns proactively. Requirements Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related discipline, or equivalent practical experience. At least five years of experience in data analysis, product analytics, analytics engineering, or a similar role, with extensive hands-on SQL experience. Advanced SQL skills and strong analytical capabilities, with proficiency in Python for exploring, transforming, and validating complex datasets across multiple business and product domains. Ability to independently investigate data issues, trace data lineage, verify data integrity, and validate findings without relying entirely on engineering teams. Solid understanding of data modeling, ETL/ELT pipelines, and cloud-based data platforms, such as AWS, with the technical depth to collaborate effectively with data engineers. Proven experience supporting cross-functional teams and delivering data products that meet the needs of multiple stakeholder groups. Demonstrated ownership and accountability, including the ability to follow requests through development, release, and production while coordinating resolution across business and technical teams. Strong requirements-gathering skills and the ability to translate business needs into clear, actionable technical specifications. Experience writing user stories, defining acceptance criteria, and maintaining high-quality product and data documentation that supports consistent, scalable workflows. Understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use. Ability to connect and enrich datasets across multiple systems to generate deeper insights and support business objectives. Excellent written and verbal communication skills, with the ability to adapt explanations for technical audiences, including engineering and data science teams, as well as non-technical stakeholders. Strong interpersonal and collaboration skills, including the ability to influence without direct authority and build alignment across multidisciplinary teams. Comfort working in ambiguous or evolving environments by asking clarifying questions, investigating unfamiliar data sources, and identifying opportunities for improvement. Strong critical thinking, structured problem-solving, and statistical analysis skills, particularly when working with incomplete, inconsistent, or complex datasets. Adaptability, attention to consistency and detail, results orientation, and effective time management, including the ability to work under pressure. Familiarity with data visualization concepts and tools, including D3, is beneficial. Benefits Remote work: The position is listed as remote, offering flexibility in where work is performed, subject to applicable employment arrangements. International exposure: Opportunity to work with international data and collaborate with stakeholders across business and technical functions. Technical development: Hands-on experience with advanced SQL, Python, cloud data platforms, data pipelines, and data quality monitoring. End-to-end ownership: Opportunity to influence data products from requirements gathering through delivery, deployment, and continuous improvement. Cross-functional collaboration: Work closely with data engineering, architecture, analytics, and business teams. Professional growth: Develop expertise in data product analysis, data stewardship, business requirements, and production data management. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Sr. Data Analyst, Compliance

Accountabilities Transaction Monitoring: Own and refine the logic and rules used to monitor deposits and withdrawals, collaborating with compliance stakeholders to identify transaction patterns and improve detection effectiveness. Detection Logic Development: Translate compliance requirements into reliable, production-ready detection logic, ensuring accuracy across alert eligibility, thresholds, customer segmentation, date windows, and duplicate handling. Data Pipeline Engineering: Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows. Detection Performance Evaluation: Assess detection rules and analytical models based on coverage, alert quality, threshold sensitivity, and the potential impact of proposed changes. Historical Analysis and Testing: Design reproducible evaluations using historical data, accounting for limited labels, imbalanced datasets, and evolving customer behavior. Production Operations: Manage testing, deployment, scheduling, monitoring, and ongoing support for detection workflows, investigating data quality issues, pipeline failures, and unexpected results. Data Backfills and Integration: Execute historical data backfills with appropriate validation and traceability, ensuring reliable downstream alert delivery and integration with compliance systems. Analytics and Business Insights: Analyze large datasets, investigate root causes and emerging trends, and deliver actionable recommendations that improve business performance and operational efficiency. Reporting and Visualization: Build and maintain dashboards and analytical outputs that provide clear visibility into compliance performance and support data-informed decision-making. Continuous Improvement: Apply software engineering best practices across pipelines and dashboards while experimenting with new approaches, testing hypotheses, and contributing to future machine learning and intelligence capabilities. Requirements Professional Experience: At least 7 years of experience in data analytics, data science, or data management, ideally within fintech, cryptocurrency, financial services, or the gambling industry in a fast-paced, high-growth environment. Cross-Functional Collaboration: Experience working with compliance, fraud, funding, finance, or customer support teams to solve practical business problems using data. Python and SQL: Strong proficiency in Python and SQL, with hands-on experience developing, maintaining, and supporting production-grade data or analytical systems. Data Modeling: Experience with dbt or similar tools for structuring, transforming, and maintaining reliable datasets for reporting and decision-making. Pipeline Orchestration: Experience building and managing data pipelines, with a solid understanding of workflow orchestration and dependable data processing practices. Software Engineering Practices: Familiarity with version control, automated testing, code reviews, continuous integration and deployment (CI/CD), and production system maintenance. Statistical Analysis: A strong statistical foundation and the ability to apply analytical methods, feature engineering, and hypothesis testing to complex business challenges. Business Intelligence: Proficiency with data visualization and business intelligence tools such as Hex, Tableau, Power BI, or equivalent platforms, including the development of executive-facing dashboards. Problem-Solving and Communication: Ability to investigate production issues independently, interpret complex findings, communicate uncertainty clearly, and present recommendations to non-technical stakeholders. Education: A degree in an analytically rigorous discipline, such as analytics, software engineering, statistics, economics, or a related field. Language and Location: Fluency in English and current residence in Brazil, Canada, or the United States. Additional Advantage — Risk Analytics: Experience in fraud detection, anti-money laundering (AML), anomaly detection, or other risk-related applications. Additional Advantage — Data Infrastructure: Familiarity with technologies such as Athena, Trino, Kafka, and Kubernetes, alongside tools such as Airflow, dbt, and S3. Additional Advantage — Detection Optimization: Experience analyzing transaction patterns, segmenting customers, tuning detection thresholds, and evaluating systems with sparse or delayed investigation feedback. Additional Advantage — Machine Learning: Experience developing or deploying machine learning models, including experiment tracking, performance monitoring, and model evaluation. Additional Advantage — Governance: Knowledge of explainability, auditability, and change control within regulated environments. Mindset: A strong interest in data-driven compliance, continuous improvement, and the evolving financial technology landscape. Benefits Remote Work: The flexibility to work remotely from Brazil within an internationally distributed organization. Meaningful Impact: The opportunity to strengthen compliance and transaction monitoring capabilities in a technology-driven financial services environment. Technical Ownership: End-to-end responsibility for analytical systems, detection logic, data pipelines, and production workflows. Advanced Analytics: Opportunities to explore statistical methods, detection optimization, experimentation, and emerging machine learning applications. Cross-Functional Exposure: Collaboration with compliance, finance, fraud, and other business and technical teams. Professional Development: Opportunities to deepen expertise in data engineering, risk analytics, financial technology, and production-grade analytical systems. Inclusive Work Environment: A merit-based environment that values diverse backgrounds, perspectives, skills, and professional experiences. Skills-Based Assessment: Job-related assessments may be used as part of the recruitment process to evaluate relevant competencies alongside experience and interviews. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Data Analyst - Corporate Services

From $10/yr

As a Data Analyst within our IT \& AI Enablement team in Corporate Services, you'll turn enterprise data into trusted insights and help build the AI-ready foundation that supports better decisions across TechnologyOne. You'll improve data quality and consistency, establish common enterprise measures, and deliver reliable dashboards, reports and practical business insights for our internal teams. Working across our TechnologyOne platform, ERP, CRM, service management and other core systems, you'll partner with Data Engineering and stakeholders from Finance and HR through to Sales and Delivery. This broad exposure will allow you to translate complex information into meaningful outcomes while helping shape how trusted data, intelligent technology and AI strengthen processes and the employee experience. What you'll be doing… * Partner with stakeholders to understand reporting requirements and translate them into practical dashboards, reports and insights * Identify and help remediate duplicate, incomplete, conflicting or poorly governed data across core enterprise systems * Create and maintain clear, engaging data visualisations that support confident business decision making * Analyse large datasets, identify trends and provide clear, actionable recommendations * Work with Data Engineering to ensure data pipelines are accurate, reliable and fit for purpose * Help define common enterprise measures and advocate for strong data integrity and governance * Complete quality checks to ensure reporting and data deliverables meet expected standards * Continually improve data systems, processes and ways of working while meeting policy, compliance and WHS requirements Your Talents… * A relevant qualification in data science, computer science or a related discipline, or equivalent industry experience * Proven experience capturing, integrating and analysing large datasets to deliver business intelligence outcomes * Strong knowledge of BI concepts and tools such as Power BI or Tableau * Advanced SQL and Python skills * An understanding of enterprise systems such as ERP, CRM or service management platforms, including security and compliance considerations * The ability to identify trends and risks in data and translate analysis into practical business recommendations * Strong stakeholder engagement, communication and organisational skills, with experience across cloud and data platforms such as Azure, AWS, Data Cloud, Databricks or QuickSight highly regarded Why Join us? TechnologyOne is proud to be an Equal Opportunity Employer who values diversity and an inclusive workplace. We aim to recruit a diverse range of people with a diverse range of talents to help us deliver on our mission to better our community. Our core values and culture unleash the boundless potential of creativity, innovation and the entrepreneurial spirit within our people. When you experience Life at TechnologyOne you'll see that our team enjoys an extensive array of benefits, including foundation charity activities, which all cultivate a vibrant workplace our people are very proud to be involved with. Benefits… * Competitive remuneration package * Access to our industry leading employee share plan * Salary packaging options * Up to 10 days of additional leave via our Purchase Leave program * Amazing Culture: 8 x Australian Business Awards "Employer of Choice" winner * We love our team events \& celebrate diversity * Flexible hours: we are family-friendly and value life outside of work * Free gym membership in your region (or, if you are located at HQ, we have a new state of the art Gym onsite, exclusive and available 24/7). * Additional 2.5 days of leave per year dedicated to volunteering at a charity of your choice * Free breakfast and coffee on-site * Accelerate your growth with full access to LinkedIn Learning and a clear career framework that maps your path to success. Who we are… At TechnologyOne (ASX: TNE), we're more than Australia's largest top 50 ASX enterprise SaaS company; we're a team driven by purpose! Our global SaaS ERP solution powers over 1,300 leading organisations, including government, education, health, and financial services. We take full responsibility for delivering outcomes - reducing time, cost, and risk; therefore, our customers can focus on what matters most. For over 38 years, we've been helping communities and organisations thrive by making life simple through innovative technology. Ready to make a real difference? Join us and help shape the future of enterprise technology while building a career that matters.

Senior Data Analyst

From $133,348/yr

Location - Parramatta ( Flexible work arrangements are offered, minimum 50% attendance in the office) Employment type – Temporary full-time role until 30 June 2028 Salary - $133,348.00 - $146,945.00 pa, plus superannuation and leave loading Your role The Senior Data Analyst plays an important role in BOCSAR’s mission to improve community safety and justice outcomes in NSW. Working at the intersection of policy, research and data analysis, the role leads complex analytical projects that inform evidence-based decision-making across government. The position combines strong technical expertise with sound judgement, initiative and problem-solving skills to deliver independent, high-quality analysis that informs criminal justice policy and service delivery. What You’ll Do Day-to-day, the Senior Data Analyst will extract, link, clean, and analyse complex justice datasets, applying strong SQL and data analysis skills to identify trends, solve problems and produce meaningful insights. This includes leading analytical projects from scoping to delivery, tackling complex data problems, and working with large datasets using platforms such as Google BigQuery. The role also involves exercising sound judgement, working independently to resolve analytical challenges, communicating findings in clear, tailored formats for both technical and non-technical audiences, mentoring junior analysts, contributing to the development of analytical tools and methods, and ensuring all work complies with strict privacy, security, and governance requirements. You will join BOCSAR’s collaborative, high-performing team of analysts and researchers who value transparency, rigour, and the practical impact of their work. The environment is supportive yet intellectually challenging, with open knowledge-sharing, peer review, and a commitment to continuous improvement. The team operates flexibly, with hybrid work options, and fosters an inclusive culture where diverse perspectives are respected and contributions are recognised. There’s a strong focus on both professional development and producing work that directly benefits the NSW community. What We’re Looking For In addition to the essential requirements noted in the role description, our ideal candidate: * Is an experienced data professional with strong SQL and data analysis skills, and a proven ability to work with complex datasets to produce accurate, high-quality analysis. * Holds tertiary qualifications in a relevant field such as statistics, computer science, engineering, economics or criminology, or has equivalent experience. * Has strong analytical and problem-solving skills, exercises sound judgement, and can work independently to investigate complex questions and develop practical solutions. * Has excellent written and verbal communication skills, an understanding of data governance, and the ability to work collaboratively, share knowledge and manage competing priorities. * Ideally has experience with cloud-based data platforms such as Google BigQuery. Experience working with justice-related data or policy is also highly regarded. Download the role description. If you are viewing this ad in Seek and wish to apply via their portal, you will be required to either set up a profile or login via your existing Seek account. To apply directly via the DCJ Careers site click here. Search for the job and click the ‘Apply now’ button. We focus on hiring people who share our commitment and goals of inclusion, collaboration, adaptability, courage and integrity. If you meet the essential requirements and the role resonates with you, please apply – you do not need to meet every desired requirement for us to want to talk to you. What We Offer We offer a variety of benefits, including: * A challenging and rewarding career * Flexible, autonomous work environment * Competitive pay and conditions * Training and development opportunities to build and maintain capabilities * Health \& Wellbeing and Employee Assistance Programs. Want more information? Visit our website to see more information on Working for us. We do work that really matters Working for the Department of Communities and Justice (DCJ) provides lots of opportunities to make a real difference. We collaborate with other agencies and community partners, to improve lives and realise the potential of children, adults, families and communities. We're focused on breaking, rather than managing, disadvantage. It’s work that really matters. Apply now and join Australia’s top public sector employer where we will support you and provide an exciting and flexible working environment! Are you ready to join us? Click apply, attach a cover letter (maximum 2 pages) outlining how you meet the requirements of the role as well as an up-to-date résumé (maximum 5 pages). Applications close Sunday, 15 November 2026 at 11:59 pm AEST. Got a question? For more information about the role or what it’s like to work for DCJ, please contact the hiring manager Nick Halloran at: nick.halloran@dcj.nsw.gov.au If you’ve got a question about applying or would benefit from an adjustment in the recruitment process to help you perform at your best (including an alternate method submission of the application), please call Anjy Fayad on 02 9765 3042 or via anjy.fayad@dcj.nsw.gov.au Visit Recruitment adjustments on the DCJ website to learn more. Inclusion and Diversity lies at the heart of how we recruit We continue to hire great people with a wide variety of skills, experience and backgrounds. This includes people with disability, Aboriginal and Torres Strait Islander People, women, people identifying as LGBTIQ+, culturally and linguistically diverse people, carers and other diversity groups. To find out what DCJ are doing to build an inclusive and diverse workforce, visit Inclusion and diversity on the DCJ website. Other Information A talent pool may be created for future ongoing and temporary roles and is valid for a period of up to 18 months. For more information visit Applying for DCJ jobs on the DCJ website. Thank you for your interest in this role. We look forward to receiving your application. To keep up with recruitment opportunities at DCJ, follow us on Facebook: www.facebook.com/CareersatDCJ/ The Welcome Experience Thinking about moving to regional NSW? Get free, personalised support with housing, schools, jobs, and settling in. Learn more: www.nsw.gov.au/welcomeexperience The careers site currently promotes this service on the ‘Discover roles with DCJ in regional NSW’ page.

Data Analyst

From $12/yr

Job Description We're looking for talented Data Analysts to join our Model Activate \& Analytics team within Consumer Insurance on a 12-month fixed-term contract. With three opportunities available, you'll play a key role in delivering analytical insights, pricing solutions and predictive modelling that support our Motor Insurance business and contribute to improved customer outcomes and product profitability. This is an exciting opportunity to work with large and complex data sets, cutting-edge modelling capabilities and experienced analytics professionals while developing your technical and commercial expertise in a leading insurance organisation. What You'll Be Doing As a Data Analyst, you'll work closely with senior analytics and pricing specialists to deliver data-driven solutions that support strategic business objectives. You'll * Analyse and interpret large and complex datasets to provide actionable business insights. * Extract, manipulate and prepare insurance data for analytical and modelling purposes. * Develop, enhance and maintain statistical and machine learning models using Suncorp's advanced modelling infrastructure. * Support the design, recommendation and implementation of pricing solutions that improve business performance. * Apply customer, market and risk insights to support pricing and product decisions. * Collaborate with stakeholders across Product, Finance, Claims, Actuarial and Analytics teams to solve business challenges. * Translate technical findings into clear and practical recommendations for non-technical audiences. * Contribute to continuous improvement initiatives across analytics, modelling and pricing processes. What You'll Bring We're looking for curious and commercially minded analysts who enjoy solving complex problems and turning data into meaningful business outcomes. Ideally, You'll Have * A degree in Data Science, Statistics, Mathematics, Actuarial Studies, Engineering, Econometrics, Computer Science or a related quantitative discipline. * Experience working on analytical, modelling or data-focused projects. * Strong problem-solving and critical-thinking skills. * Experience using analytical tools such as SQL, Python, R or SAS. * The ability to communicate technical concepts and insights to a range of stakeholders. * Strong stakeholder engagement and collaboration skills. * A proactive approach with the ability to thrive in a fast-paced, project-based environment. * Experience within insurance, pricing analytics or financial services will be highly regarded. * Exposure to predictive modelling, machine learning or Earnix will be advantageous. Why join us? At Suncorp, you'll be part of a collaborative and high-performing analytics community where your work directly influences strategic business decisions. We Offer * Three 12-month fixed-term opportunities with potential for extension. * Flexible hybrid working with 3 days in the office and 2 days from home. * Sydney-based role within a supportive and experienced team. * The opportunity to work on meaningful analytical and modelling projects that deliver real business impact. * Ongoing learning and development opportunities. * A collaborative culture that encourages innovation, curiosity and continuous improvement. At Suncorp, we believe our best work comes from diverse perspectives and experiences. We are committed to creating an inclusive workplace where everyone feels valued, respected and empowered to succeed. If you require more information or support to participate equitably in our recruitment process, please contact Sophia Fretwell for a confidential conversation at sophia.fretwell@suncorp.com.au. Apply now and join a team where analytics, innovation and data-driven decision making make a real impact.

Data Analyst- UNSW Business School

From $108,021/yr

This Job is based in Australia * Employment Type: Full Time, 35 hours per week * Duration: Continuing * Remuneration: Professional Level 6 from $108,021 plus 17% super * Location: Kensington, New South Wales * Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position. Position Summary The Data Analyst supports the UNSW Business School’s accreditation, continuous improvement and strategic decision-making activities through the delivery of high-quality data analysis, insights and reporting. Working closely with stakeholders across the Faculty, the role collects, integrates, analyses and interprets complex data from multiple sources to produce meaningful reports, interactive dashboards and visualisations that support accreditation requirements, curriculum and educational quality initiatives, and evidence-based improvement of student learning and program outcomes including AACSB, EQUIS and PRME. The position manages data capture and reporting processes, supports the development of accessible and reliable data systems, and provides analysis and advice to senior Faculty stakeholders and the Accreditation team. Using tools such as Excel, Power BI, Tableau and programming languages including Python, SQL or R, the Data Analyst transforms large and complex datasets into clear, actionable insights while identifying opportunities to improve data collection, reporting and analytical capability across the Business School. The role requires strong technical and analytical capability, attention to detail and the ability to manage competing priorities and reporting deadlines in a fast-paced environment. Strong stakeholder management and communication skills are essential, with the ability to translate complex data into clear and meaningful information for a range of audiences. The role reports to the Senior Business Performance \& Planning Analyst and has no direct reports. Some Key Skills Required * A relevant tertiary degree with experience in data analysis and data modelling or proven equivalent competency gained through any other combination of education, training, or experience. * Demonstrated experience working with large data sets, from a range of structured and unstructured sources to draw insights and produce visualisations. * A high competency manipulating and analysing data in Excel and the ability to model and analyse in one or more programming languages (preferably Python, SQL, R). * A high competency in data visualisation tools such as Power BI and knowledge of MS Azure’s cloud platform and applications such as Azure Data Factory, Data Bricks \& Analysis Services. * Demonstrated technical capability to manipulate, analyse and present data in dynamic and visually interesting formats. * Experience with international business school accreditation bodies and their standards and requirements, as well as of the Australian higher education sector desirable. Please refer to the position description for full details. Benefits And Culture UNSW offer a competitive salary and access to a plethora of UNSW-perks including: * Career development opportunities * 17% Superannuation contributions and additional leave loading payments * 10 days paid cultural leave per year * Additional 3 days of leave over Christmas period * Discounts and entitlements (retail, education, fitness) More information on the great staff benefits and culture can be found here How To Apply Submit your application including your resume \& selection criteria online before Sunday 1st November at 11:55pm. To be considered for this role, you must address the Selection Criteria which are outlined in the “Skills and Experience” section of the position description. Applications that do not address these criteria will not be considered Pre-Employment Checks Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. These pre-employment checks may include a combination of some of the following checks: - * National and International Criminal history checks * Entitlement to work and ID checks * Working With Children Checks * Completion of a Gender-Based Violence Prevention Declaration * Verification of relevant qualifications * Verification of relevant professional membership * Employment history and reference checks * Financial responsibility assessments/checks. * Medical Checks and Assessments Compliance with the necessary combination of these checks is a condition of employment at UNSW. Get In Touch Aarti a.aarti@unsw.edu.au Talent Acquisition Associate Please apply through the application portal and not via the contact above. UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

Senior Data Analyst - Card

From $111,200/yr

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation * Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms * Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence * Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization * Drive analysis that provides meaningful insights on business strategies Data Management * Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions * Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report on data quality Our ideal candidate will have: * Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) * Experience utilizing and developing within AWS services Basic Qualifications * Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date. * At least 1 year of experience working with at least one scripting language * At least 1 year of experience utilizing business intelligence visualization tool * At least 1 year of experience querying, analyzing and working with data languages and platforms Preferred Qualifications: * Master’s Degree in a Science, Technology, Engineering, Mathematics discipline * At least 2 years of experience coding in Python, R, Spark, or SQL * At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. * At least 1 year of experience utilizing and developing within AWS services * At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $111,200 - $126,900 for Sr. Data Analyst Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Analyst I

From $321/yr

What We're Looking For At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. This opportunity will work as an extension of staff with our client Miami Dade Aviation Department. The position entails being responsible for supporting the development of data-driven solutions by collecting, cleaning, and analyzing structured and unstructured data. You will assist in building basic models, generating insights, and creating visualizations to support business decisions. This role focuses on developing foundational skills in data science, statistical analysis, and machine learning while working in a collaborative environment. What You'll Do * Collects, cleans, and transforms data for analysis and modeling. * Builds basic statistical models and machine learning algorithms under guidance. * Creates visualizations and dashboards to communicate insights. * Collaborates with team members to support data-driven decision-making. * Documents data sources, processes, and findings. * Learns and applies best practices in data science and analytics. * Performs other duties as assigned. What You'll Need * Bachelor’s degree in data science, statistics, computer science, computer engineering, or information systems, or * In lieu of education, 4 years of relevant experience. What You'll Bring * Analytical skills supporting data analysis, reporting dashboards, performance tracking, and process improvement. * Ability to build or improve Power BI/Tableau dashboards and analytical models. * Excellent communication skills to explain complex technical concepts to non-technical stakeholders. Additional Information Click here for benefits information: HNTB Total Rewards Click here to learn more about Equal Opportunity Employer/Disability/Veteran Visa sponsorship is not available for this position. \#AJ Locations: Miami, FL Notice To Third-party Agencies HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees. Job Type: Regular Full/Part Time: Full time Job Category: Technical Group ReqID: R-32186

Data Analyst

From $70,000/yr

At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked #30 in the National Law Journal’s survey of the nation’s largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. Summary Data Analyst opportunity focused on turning raw data into meaningful business insights. In this role, you will collect, transform, and analyze data from multiple sources, uncover trends and patterns and present your findings in ways that help leadership make informed business decisions. The ideal candidate combines strong analytical thinking with proficiency in data visualization tools and excellent communication skills – able to make complex data clear and actionable in support of the business. Key Responsibilities * Collect, clean, and validate data from multiple sources to ensure accuracy and consistency. * Analyze large datasets to identify trends, patterns, and business opportunities. * Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. * Write and optimize SQL queries to extract and manipulate data. * Collaborate with business stakeholders to understand reporting requirements and provide actionable insights. * Monitor key performance indicators (KPIs) and prepare regular performance reports. * Identify data quality issues and recommend improvements to data collection and management processes. * Present findings and recommendations to technical and non-technical audiences. * Support forecasting, budgeting, and strategic planning through data analysis. Qualifications * Bachelor’s degree in Data Analytics or related field. * 1–4 years of experience in data analysis or a similar role. * Proficiency in SQL for querying and managing databases. * Advanced knowledge of Microsoft Excel. * Experience with data visualization tools such as Power BI or Tableau. * Strong analytical, problem-solving, and critical thinking skills. * Excellent written and verbal communication skills. * Ability to manage multiple projects and meet deadlines. Preferred Qualifications * Experience with Python or R for data analysis and automation. * Familiarity with cloud platforms such as AWS or Azure. * Knowledge of data warehousing and ETL processes. * Experience working with large datasets and business intelligence tools. . Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally.A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: : $70,000 USD - $85,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan* Career Growth: Ample opportunities for professional development and advancement* Employee Perks: Access to corporate discount plans and other benefits* Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at talentacquisition@wilsonelser.com. Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here. Wilson Elser participates in the federal E-Verify program. With respect to all new hires, we provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. Please review the official posters for detailed information regarding your rights and protections Download the E-Verify Participation Poster (English \& Spanish)* Download the Right to Work Poster (English \& Spanish)* #ZR

Data Analyst

Job Description: Data Analyst Location: Texas, United States Experience: 0–3 Years Job Type: Full-Time Job Summary We are seeking a detail-oriented and analytical Data Analyst to collect, process, analyze, and interpret data to support business decisions. The ideal candidate should have a strong foundation in SQL, Microsoft Excel, and data visualization tools such as Power BI or Tableau. This is an excellent opportunity for recent graduates and early-career professionals to develop their data analytics skills. Key Responsibilities * Collect, clean, validate, and analyze data from multiple sources. * Write SQL queries to retrieve, filter, join, and aggregate data. * Create and maintain dashboards, reports, and visualizations using Power BI or Tableau. * Use Microsoft Excel for data analysis, pivot tables, lookup functions, and reporting. * Identify trends, patterns, discrepancies, and opportunities for business improvement. * Prepare regular and ad hoc reports to support business operations and management decisions. * Collaborate with business teams to understand reporting requirements and key performance indicators (KPIs). * Perform data quality checks and ensure accuracy and consistency. * Document data sources, analytical processes, and reporting procedures. * Assist with automating repetitive reporting tasks using SQL, Python, or Power Query. Required Skills * Basic to intermediate knowledge of SQL and relational databases. * Proficiency in Microsoft Excel, including formulas, PivotTables, and VLOOKUP/XLOOKUP. * Knowledge of Power BI or Tableau for dashboard development and data visualization. * Basic understanding of statistics, data analysis, and data interpretation. * Ability to identify trends and communicate data-driven insights. * Strong analytical thinking, problem-solving, and attention to detail. * Good verbal and written communication skills. Preferred Skills * Basic knowledge of Python, including Pandas and NumPy, or R. * Familiarity with Power Query and DAX. * Understanding of ETL processes, data warehousing, and data modeling. * Exposure to cloud data platforms such as Microsoft Azure, AWS, or Snowflake. * Experience with academic projects, internships, or real-world data analysis projects. Educational Qualifications * Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, Data Science, Statistics, Mathematics, Business Analytics, Economics, or a related field. * Fresh graduates with relevant academic projects and practical knowledge of data analytics tools are encouraged to apply. Experience Requirements * 0–1 year: Fresh graduates with foundational SQL, Excel, and Power BI/Tableau skills. * 1–2 years: Candidates with experience in data cleaning, reporting, SQL queries, and dashboard development. * 2–3 years: Candidates capable of handling datasets, developing dashboards, analyzing KPIs, and delivering actionable business insights. Work Locations Potential locations across Texas include: * Dallas * Austin * Houston * Plano * Irving * Fort Worth * San Antonio Ideal Candidate Profile The ideal candidate is analytical, detail-oriented, eager to learn, and comfortable working with data to solve business problems. Candidates should be able to explain their projects, demonstrate their technical skills, and communicate analytical findings clearly. Core Technologies: SQL | Microsoft Excel | Power BI | Tableau | Python | Statistics | Data Visualization Email your updated resume to: shivakumar@maximatek.com

Data Science Analyst

From $202/yr

Data Science Analyst Locations: Wilmington, DE; Charlotte, NC (Hybrid) As an Data Science Analyst, you’ll develop the technical skills to build the machine learning systems that drive our company and produce great customer outcomes. You’ll get hands-on experience as you apply your talents, creativity, and passion to create innovative solutions to real-world data science use cases. No matter the projects, you’ll have the opportunity to explore, while learning from experts in consumer lending in a close-knit team-oriented environment. This role will provide exposure across multiple disciplines to accelerate your career growth. In the Role: * Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems. * Actively contribute to our team’s vibrant culture through sharing knowledge, helping peers, and generally being a great person to work with. * Develop creative technical solutions to improve the company’s decision making, the customer’s experience, and shareholder returns. * Evaluate non-traditional data sources to see if they result in better underwriting decisions, saving our hard-working customers millions in interest payments. * Mine the “digital exhaust” of our marketing campaigns to identify new populations who would benefit from our products. * Partner with our operations teams to surface data insights that will allow our thousands of branch staff to better serve our customers. Requirements: * Current post-graduate degree student in a quantitative discipline (Engineering, Data Science, Statistics, Biostatistics, Physics, Economics, Operations Research, or Computer Science) with an expected graduation date of Winter 2026 or Spring 2027. * Outstanding communication skills, including the ability to explain technical topics and concepts to a non-technical audience. * Proven experience (in an academic, athletic, volunteer, or employment context) working with teams of diverse individuals to deliver complex projects. * Experience in use of open-source machine learning libraries (Python or R). * Innovative and capable of developing creative solutions to complex, data-driven problems. Preferred: * Successful candidates will possess strong analytic, strategic thinking, communications, and leadership skills. * They will also demonstrate curiosity, creative problem solving, integrative business thinking, teamwork, and bias for action. * Just as importantly, they will be enthusiastic learners who want to tackle real-world challenges. About You: * You are ready to launch your data science career. * You want to create solutions to help hard-working Americans improve their financial lives. * You want to work on a modern cloud-based data infrastructure. * You want to directly learn from some of the best data science and business leaders in consumer finance. * You want to be part of a team which is nimble, collaborative, diverse, and fun. Who we Are: OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with: * Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances * Up to 4% matching 401(k) * Employee Stock Purchase Plan (10% share discount) * Tuition reimbursement * Paid time off (15 days vacation per year) * Paid sick leave as determined by state or local ordinance, prorated based on start date * Paid holidays (11 days per year, based on start date) * Paid volunteer time (3 days per year, prorated based on start date) * Most Loved Workplace 2022, 2023, 2024, and 2025

Data Analyst (Junior to Intermediate) – Process Engineering Focus

From $350,000/yr

Our client is seeking a motivated and analytical Data Analyst with a strong interest in process engineering and operational excellence. This opportunity is ideal for a Junior to Intermediate-level professional looking to apply their data analytics expe...

Principal Data Analyst - Risk Product Data

From $119,400/yr

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation * Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms * Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence * Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization * Drive analysis that provides meaningful insights on business strategies Data Management * Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions * Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report on data quality Our ideal candidate will have: * Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) * Experience utilizing and developing within AWS services Basic Qualifications: * Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. * At least 3 years of experience working with at least one scripting language * At least 3 years of experience utilizing a business intelligence visualization tool * At least 3 years of experience in querying, analyzing and working with data languages and platforms Preferred Qualifications: * Master’s Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of experience coding in Python, R, Spark, or SQL * At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. * At least 2 years of experience utilizing and developing within AWS services * At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $119,400 - $136,200 for Principal Data Analyst McLean, VA: $131,300 - $149,800 for Principal Data Analyst Richmond, VA: $119,400 - $136,200 for Principal Data Analyst Riverwoods, IL: $119,400 - $136,200 for Principal Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Analyst

From $100/yr

One of our Federal Government Clients is seeking to engage a Lead Data Analyst. This is a long-term contractual position. Please check below all the job details: Contract Duration: 03 Years (12 months initially + 24 months extension) Work Location : Canberra, Brisbane and Melbourne Eligibility: You must need to have Baseline Security Clearance or above. Mandatory Skills \& Experience * Data communication: Level 3 (DCF) – Can develop and deliver advanced level narrative to communicate insights drawn from complex data sources and outputs. Maintains understanding of new trends and innovations relating to data communication (including Artificial Intelligence-based technologies) and develops skills in these where relevant. Understands the importance of translating technical concepts into non-technical language, and can adapt communication effectively for a range of audiences. Can use innovative approaches to improve the process of summarising data into meaningful narratives. Uses high quality analytics and visualisation to communicate insights from data. Can effectively listen to technical and business stakeholders, and understand and interpret their data needs. * Data outputs, products or services: Level 3 (DCF) – Has expert knowledge about the production of a data output, product or service. Provides expertise in developing new products or data services to meet evolving requirements, needs and opportunities. Can build the capability of others in the delivery of data outputs, products or services. * Identify research questions: Level 3 (DCF) – Uses a range of techniques to assess data needs and identify gaps, towards the formulation of appropriate research questions. * Integrate data: Level 2 (DCF) – Can perform data integration using standard tools and can implement quality controls. Knows where to obtain expert advice on data integration as needed. Is able to understand and amend existing code (programming language) to integrate data. Can assess datasets’ suitability for linkage and extract appropriately prepared datasets. * Statistical data analysis: Level 3 (DCF) – Contributes to the development of new functionality for statistical analysis applications, which enables new ways of doing things. Can write custom scripts and code in a statistical computing language to conduct complex analytical tasks. Maintains understanding of new trends and innovations relating to statistical data analysis (including Artificial Intelligence-based technologies) and develops skills in these where relevant. * Subject matter expertise: Level 3 (DCF) – Is an expert resource on the subject matter area associated with data use, including understanding and influencing the effective use of the data within that subject matter area and the relationship between that use and other data use contexts. * Visualise data: Level 2 (DCF) – Can readily produce a range of data visualisation outputs (including complex graphs and map visualisations) and can critically assess and enhance those produced by others. Can select the most appropriate medium to visualise data. The Next step is easy: If you are interested, you may send an email to madhavi.d@italliance.com.au Referral incentive program: As always, we have the candidate referral incentive program through which you will get $1000 for each successful referral after the successful selection and joining of the referred candidates.

Data Analyst

Position Purpose * The role of the Data Analyst sits within the AI \& Data pillar of the over arching Industrial Transformation team. The Data Analyst’s primary objective is providing the business with data analytics and solutions in a cost-effective way by determining the requirements of a project or program and communicating them clearly to stakeholders, facilitators and partners. * The Data Analyst will report directly to the Head of AI \& Data and work within a matrix structure, delivering into projects that are managed across all platforms. They communicate with internal and external stakeholders including business stakeholders in operations, product and coverage, standards, vendors and consultants. Key Responsibilities * Business \& Data Requirements o Engage stakeholders to establish a common understanding of the business and data needs o Identify and correctly translate business needs into business and data solution requirements o Clarify and elicit business requirements, proactively identifying additional requirements not explicitly provided, obtaining missing information and resolving conflicting information o Ensure data requirements are consistent with the business requirements. Where possible relate deliverables and their acceptance criteria to the requirements o Validate data requirements with stakeholders to ensure they are based on an understanding of the stakeholder needs, expectations, constraints, and interfaces * Data Solution Design o Gain a firm understanding of the impacts of the solution on People, Process and Technology. o Engage stakeholders to ensure a common understanding of (and commitment to) all aspects of the project including objectives, scope, risks, benefits and any element they may be providing. o Gather all the necessary inputs and review to fully understand the requirements, specifications, applicable standards etc. o Document the current (as-is) business process design if this does not already exist o Document the to-be business process design and identify how the implementation of the data solution will benefit the business * Data Quality and Integrity o Liaise with the business to identify data inconsistencies and provide the capability to identify these items in advance o Lead and/or undertake data quality activities and initiatives where required. Ensure appropriate tools and techniques are used for data analysis tasks and deliverables. o Encourage peer reviews and feedback sessions within the community as well undertaking review personally. * Alteryx Designer/Gallery/Power BI Implementation: o Using the analysis, requirements gathering and stakeholder workshops mentioned above, create Alteryx workflows or Power BI Dashboards that align with the correct business outcomes and optimise business process and introduce operational efficiencies o Ensure that developed workflows meet the standards of Data Governance and Analytics teams and can be scaled to run on the Alteryx Gallery o Create consistency amongst existing workflows and ensure that the user experience is maintained across the data governance and analytics gallery and standards are set for future developments Competencies (Technical / Behavioural) * Technical * + 8+ years analysis experience along with Alteryx, Power and/or similar ETL tools. + Experience in a Technology \& Change capacity in the Financial Services Industry o Familiarity with analytical capabilities such as Power BI, Tableau, Alteryx * + Excellent working knowledge of relational databases, be able to confidently write SQL + Experience in custody or back-office administration for the funds management industry o Strong analytical ability to analyse, summarise and explain large data sets through verbal, written and visual forms. o Excellent analytical skills, able to manage multiple projects under strict timelines, work well in a demanding and dynamic environment to meet overall objectives. o Project management skills; experience with Agile, scheduling and resource management. o Ability to motivate cross-functional, interdisciplinary teams to achieve tactical and strategic goals. * Behavioral o Accountable: Want someone who is accountable for their actions. The Data analyst must be accountable for their estimates and for tracking their actions against the relevant plans as well as outlining issues as they arise o Attention to detail: Ensures accuracy, implements processes to ensure quality of output. o Problem solving: gathers and analyses information and uses it to develop effective solutions to difficult problems or situations o Communication: Write, speak and present information effectively, relevantly and in a timely fashion o Innovation: Develop and implement original ideas, approaches and solutions to typical, unusual or difficult situations or problems o Collaboration and team work: Develops and maintains a good working relationship with others. Provide support to other team members and seeks the same from others. o Develop and coach junior members of the team o Pro Active: Must be someone who can see a need and be willing to assist in meeting that need even if it falls outside the word specific area of their job description. Want a team player who realizes the importance of delivering the business solution and is willing to assist with this Specific Qualifications Required * Degree qualified in IT, Business, or related discipline; and / or relevant work experience in a similar role.

Technical Business Analyst (Data)

Location: Sydney, NSW (Remote) Job Type: Contract Experience: 7+ years Eligibility: Australian Citizens / PR holders only About The Role Our client is looking for an experienced Technical Business Analyst (Data) to join a high-performing data and analytics team on a contract basis. You will act as the bridge between business stakeholders and technical data teams, translating business needs into clear, well-defined data requirements, mappings and specifications that engineers, architects and analysts can build against. This is a hands-on role for someone who is equally comfortable in a workshop with senior stakeholders and in a SQL editor profiling source data. You will shape data solutions end to end, from discovery and requirements through to testing and delivery. Key Responsibilities * Engage with business and technical stakeholders to elicit, analyze and document data and reporting requirements * Translate business needs into functional and technical specifications, user stories and acceptance criteria * Perform source system analysis and data profiling using SQL to assess data quality, structure and completeness * Produce source-to-target mappings, data dictionaries, business glossaries and data lineage documentation * Work closely with data engineers, data architects and BI developers to design and deliver data pipelines, data models and reports * Define and validate business rules, transformation logic and data quality checks * Support data migration, integration and data warehouse / Lakehouse initiatives * Plan and support User Acceptance Testing (UAT), including preparing test cases and validating outputs against requirements * Identify data gaps, risks and dependencies, and recommend practical solutions * Support data governance, metadata management and data privacy practices * Contribute to Agile ceremonies, including backlog refinement, sprint planning and show-and-tells * Provide clear status updates and manage stakeholder expectations throughout delivery Essential Skills And Experience * 7+ years of experience as a Business Analyst, with a strong focus on data, analytics or data platform projects * Strong SQL skills for querying, profiling, validating and reconciling data * Proven experience writing source-to-target mappings and data transformation specifications * Solid understanding of data warehousing, data modelling (dimensional, relational) and ETL / ELT concepts * Experience working with modern cloud data platforms (for example Azure, AWS, Snowflake, Databricks or Microsoft Fabric) * Experience gathering requirements for BI and reporting solutions (for example Power BI, Tableau or similar) * Strong knowledge of data quality, data governance and metadata management principles * Experience working in Agile / Scrum delivery environments * Excellent documentation skills, including BRDs, FRDs, user stories, process flows and data models * Strong stakeholder management and communication skills, with the ability to explain technical concepts to non-technical audiences * Strong analytical and problem-solving skills with attention to detail Desirable Skills * Experience with data catalogue or governance tools (for example Microsoft Purview, Collibra or Alation) * Familiarity with transformation tools such as dbt, Azure Data Factory or similar orchestration tooling * Working knowledge of Python for data analysis * Experience with Jira and Confluence * Exposure to data migration programs or large-scale data platform modernisation * Industry experience in financial services, government, utilities, retail or similar data-rich sectors * Relevant certifications (for example CBAP, IIBA-CBDA, Azure Data Fundamentals or similar)

Data Analyst

Position Purpose * The role of the Data Analyst sits within the AI \& Data pillar of the over arching Industrial Transformation team. The Data Analyst’s primary objective is providing the business with data analytics and solutions in a cost-effective way by determining the requirements of a project or program and communicating them clearly to stakeholders, facilitators and partners. * The Data Analyst will report directly to the Head of AI \& Data and work within a matrix structure, delivering into projects that are managed across all platforms. They communicate with internal and external stakeholders including business stakeholders in operations, product and coverage, standards, vendors and consultants. Key Responsibilities * Business \& Data Requirements * Engage stakeholders to establish a common understanding of the business and data needs * Identify and correctly translate business needs into business and data solution requirements * Clarify and elicit business requirements, proactively identifying additional requirements not explicitly provided, obtaining missing information and resolving conflicting information * Ensure data requirements are consistent with the business requirements. Where possible relate deliverables and their acceptance criteria to the requirements * Validate data requirements with stakeholders to ensure they are based on an understanding of the stakeholder needs, expectations, constraints, and interfaces * Data Solution Design * Gain a firm understanding of the impacts of the solution on People, Process and Technology. * Engage stakeholders to ensure a common understanding of (and commitment to) all aspects of the project including objectives, scope, risks, benefits and any element they may be providing. * Gather all the necessary inputs and review to fully understand the requirements, specifications, applicable standards etc. * Document the current (as-is) business process design if this does not already exist * Document the to-be business process design and identify how the implementation of the data solution will benefit the business * Data Quality and Integrity * Liaise with the business to identify data inconsistencies and provide the capability to identify these items in advance * Lead and/or undertake data quality activities and initiatives where required. Ensure appropriate tools and techniques are used for data analysis tasks and deliverables. * Encourage peer reviews and feedback sessions within the community as well undertaking review personally. * Alteryx Designer/Gallery/Power BI Implementation: * Using the analysis, requirements gathering and stakeholder workshops mentioned above, create Alteryx workflows or Power BI Dashboards that align with the correct business outcomes and optimise business process and introduce operational efficiencies * Ensure that developed workflows meet the standards of Data Governance and Analytics teams and can be scaled to run on the Alteryx Gallery * Create consistency amongst existing workflows and ensure that the user experience is maintained across the data governance and analytics gallery and standards are set for future developments Competencies (Technical / Behavioural) * Technical * + 8+ years analysis experience along with Alteryx, Power and/or similar ETL tools. + Experience in a Technology \& Change capacity in the Financial Services Industry * Familiarity with analytical capabilities such as Power BI, Tableau, Alteryx * + Excellent working knowledge of relational databases, be able to confidently write SQL + Experience in custody or back-office administration for the funds management industry * Strong analytical ability to analyse, summarise and explain large data sets through verbal, written and visual forms. * Excellent analytical skills, able to manage multiple projects under strict timelines, work well in a demanding and dynamic environment to meet overall objectives. * Project management skills; experience with Agile, scheduling and resource management. * Ability to motivate cross-functional, interdisciplinary teams to achieve tactical and strategic goals. * Behavioral * Accountable: Want someone who is accountable for their actions. The Data analyst must be accountable for their estimates and for tracking their actions against the relevant plans as well as outlining issues as they arise * Attention to detail: Ensures accuracy, implements processes to ensure quality of output. * Problem solving: gathers and analyses information and uses it to develop effective solutions to difficult problems or situations * Communication: Write, speak and present information effectively, relevantly and in a timely fashion * Innovation: Develop and implement original ideas, approaches and solutions to typical, unusual or difficult situations or problems * Collaboration and team work: Develops and maintains a good working relationship with others. Provide support to other team members and seeks the same from others. * Develop and coach junior members of the team * Pro Active: Must be someone who can see a need and be willing to assist in meeting that need even if it falls outside the word specific area of their job description. Want a team player who realizes the importance of delivering the business solution and is willing to assist with this Specific Qualifications Required * Degree qualified in IT, Business, or related discipline; and / or relevant work experience in a similar role.

Data Analyst – SQL & Data Migration

Data Analyst – Data Migration | Salesforce \& Enterprise Transformation Melbourne Preferred | Flexible Location | Contract Opportunity Turn complex data into successful business transformation. Are you a hands-on Data Analyst who enjoys solving complex data challenges, working with business stakeholders and seeing your work make a tangible impact? We're looking for an experienced Data Analyst to join a major enterprise-wide technology transformation, supporting the rollout of Salesforce and a new operational management platform across multiple locations. This isn't your typical reporting-focused Data Analyst role. You'll be at the heart of a large-scale transformation, taking ownership of data quality, preparation and migration readiness while working closely with operational teams, technology specialists and business leaders. If you thrive on untangling complex datasets, improving data quality and turning messy legacy data into reliable business information, this could be the opportunity for you. What You'll Be Doing You'll play a pivotal role in ensuring business-critical data is ready for migration into new enterprise platforms. * Get hands-on with data: Dive into complex datasets using SQL and Excel to uncover inconsistencies, duplicates, gaps and opportunities for improvement. * Own the data preparation journey: Cleanse, transform, standardise and validate data to ensure it's migration-ready. * Connect business and technology: Partner with operational stakeholders to understand how data is used and translate business requirements into practical migration solutions. * Make migrations happen: Develop data mappings, transformation rules and migration templates to support successful system rollouts. * Solve real-world challenges: Investigate data quality issues, troubleshoot migration failures and drive remediation through to resolution. * Ensure accuracy and confidence: Reconcile source and target data, validate migration outcomes and support business sign-off. * Drive continuous improvement: Apply lessons learned from each rollout to make subsequent migrations smoother and more efficient. What You'll Bring We're looking for someone who combines strong technical data skills with commercial awareness, curiosity and the confidence to engage with people across the business. Your experience will include: * Proven experience in data analysis, data quality, cleansing or migration within complex business environments. * Strong hands-on SQL and advanced Excel skills, including data manipulation, profiling and reconciliation. * Experience preparing and transforming datasets for system implementations or migrations. * Understanding of source-to-target data mapping, business rules and data validation. * Strong analytical thinking and a natural ability to investigate and resolve complex data issues. * Excellent communication skills and the confidence to work directly with business stakeholders. * A proactive, organised approach with the ability to manage competing priorities and deadlines. Bonus points if you have: * Experience with Salesforce or AMCS implementations. * Worked on large-scale enterprise transformations or multi-site system rollouts. * Exposure to Power Query, Power BI, Python or ETL tools. * Experience with master data, transactional data, migration testing or cutover activities. * Worked in operationally complex industries such as logistics, transport, utilities, waste management or field services.

Senior Data Analyst

From $133,348/yr

Senior Data Analyst | Information Technology \& Asset Services * Employment Type: Ongoing * Classification / Grade / Band: Clerk Grade 9/10 * Remuneration: $133,348 - $146,945; plus, Superannuation and Leave Loading * Location: Sydney CBD, Flexible working options available * Applications Close: Tuesday, 17 November 2026 at 11:59pm Role impact \& contribution As Senior Data Analyst, you will design, develop and maintain intuitive, accessible and visually effective Power BI dashboards that support performance management and informed decision-making across Treasury. You will analyse complex data from multiple systems and sources, applying reconciliation, validation, testing and investigation to identify trends, risks, opportunities and meaningful insights. You will also help strengthen data quality, reporting reliability and a consistent single source of data truth. Working in partnership with business units, you will translate business needs into sustainable analytics products, identify enhancement opportunities, and support self-service analytics through training, knowledge sharing, clear documentation and practical guidance. You will be joining our Financial Management and Services Group and will be working within the Information Technology \& Asset Services Division. Read more about your future Group and Division. You can read more about the role in the role description here . What you can bring to the role In this integral role, you will combine strong technical capability with sound judgement, clear communication and a collaborative approach to deliver trusted analytics products for Treasury. The ideal candidate should meet the following criteria: * Strong hands-on experience with Power BI, Power Query, DAX and data modelling. * Strong SQL capability and experience working with complex datasets, enterprise data sources or data warehouses. * Demonstrated experience delivering business intelligence solutions from requirements gathering and solution design through to development, deployment and ongoing support. * Experience with Microsoft Fabric, Snowflake, Talend, Power Apps or Power Automate, together with Python, R or similar analytics technologies. * Strong analytical and problem-solving skills, including the ability to validate business logic, identify data quality risks and translate complex findings into clear insights and recommendations. * Strong data visualisation and reporting capability, with an understanding of user-centred design, reporting governance, security, data integrity and performance considerations. What can you expect from us The team you will join is made up of a diverse and welcoming group of people. We understand what starting a new job is like, and to ensure you have the most positive experience we will ‘Buddy’ you up with a team member to help settle you in. Just some of the benefits of working with Treasury include: * Flexible work at our Sydney office with 35-hour standard weeks * Accrual of flex time for extra hours worked, promoting work-life balance. * Ongoing learning opportunities through expert-led sessions and online training * Wellbeing programs to support your mental and physical health. * Various leave options, including paid parental and carers leave. Read more about our benefits and how we invest in you. Enrich your career with the NSW Treasury You will have an invaluable opportunity to create a positive impact for the people of New South Wales. You will be challenged to provide the best outcomes possible in this role while developing and growing your own skills. When you join Treasury, you join an organisation that is a whole-of-government financial and economic advisor. Treasury is a critical component of the government and provides advice that informs a wide range of financial, economic and policy driven work for the state of NSW. As you contribute your expertise, you’ll engage in continuous Professional Development , acquiring essential skills such as: * advanced data analytics, visualisation and business intelligence practices * stakeholder engagement and communicating complex insights clearly * data governance, quality assurance and emerging analytics technologies Interested in working with us Read the role description to learn more about the role and submit your application ONLY via the I Work for NSW jobs platform. Application process: * an up-to-date resume detailing your knowledge, skills, and experience in relation to the role. * complete pre-screening questions as part of the application process. * partake in a behavioural based interview and undergo additional assessments if shortlisted A talent pool may be created for ongoing and temporary opportunities in the same role or grade that may become available over the next 18 months. Read more about what to expect in the hiring process. Our Commitment to Diversity, Inclusion and Belonging NSW Treasury is committed to building a workforce that reflects the diverse communities we serve, where everyone feels welcome, supported and able to contribute and do their best work. We are committed to fair and equitable recruitment processes and encourage applications from people of all backgrounds, including First Nations peoples, people with disability, people of all ages and genders, LGBTQIA+ people, and people from diverse cultural, linguistic and religious backgrounds. We actively support workplace and recruitment adjustments to remove barriers and enable equitable participation. If you require an adjustment or assistance at any stage of the recruitment process, please contact the Talent Advisor listed on the job advertisement or visit the following link for more information: https://www.nsw.gov.au/departments-and-agencies/nsw-treasury/about-us/careers * As a Disability Confident Recruiter, NSW Treasury is committed to inclusive and accessible recruitment and supports adjustments so candidates with disability can participate fairly at every stage. * As a Level 1 Activate Carer Employer, we recognise and support employees with caring responsibilities through inclusive and flexible workplace practices. Eligibility To be eligible to apply for ongoing employment at NSW Treasury, you must be an Australian or New Zealand citizen or permanent resident of Australia. NSW Treasury does not provide relocation expenses, nor can we support employer-sponsored work visas unless specifically referenced in the advertisement. The successful candidate will be required to undergo background checks and provide confirmation of tertiary academic qualifications before commencement. Any questions? Visit our Careers Centre or contact our Talent Advisor David.Pryde@treasury.nsw.gov.au. Close of applications: Tuesday, 17 November 2026 at 11:59pm A concurrent search is also underway. Click “Apply” to start your application.

Data Analyst

From $12/yr

2️⃣ Two roles available! Permanent and 12-month fixed term 📍 Based at East Maitland with hybrid working arrangements after training 🎓 Graduates welcome Start your data career with purpose At Pacific Smiles Group, we open our dental centres every day for one reason: to improve the oral health of all Australians to world's best. Behind that sits a data platform that more than 120 dental centres depend on. Finance, Payroll, People \& Culture, Marketing, Clinical Support and Practice teams all use it every day. We're growing our IT Data Engineering team and have two Data Analyst roles available: * One permanent, full-time role * One 12-month fixed-term role - full time hours You can start now or in January 2027, so if you're finishing your studies this year, we'd love to hear from you! About the role These are hands-on roles in a small, collaborative team that reports to the Data Office Manager. You'll help keep our data, reporting and integrations running smoothly. You'll also be part of a major modernisation project, moving us from a traditional data warehouse to a modern lakehouse on Microsoft Fabric. Day to day, you'll: * Monitor daily data pipelines and refreshes, and fix issues when they come up * Help business users with reporting questions, data discrepancies and access requests * Build and improve Power BI reports and semantic models * Develop and test data transformations across our lakehouse layers * Help migrate legacy warehouse objects and reports, checking data quality as you go * Use Git, CI/CD and AI-assisted development tools as part of everyday work, with every change peer reviewed * Write documentation and runbooks so knowledge is shared across the team Every piece of work starts with understanding the business problem, so you'll learn how data creates value, not just how to move it. About you We're looking for curious, motivated people with 0-2 years' experience . Recent graduates in data, IT, computer science, business analytics, maths or a related field are encouraged to apply. You'll bring: * SQL skills, from study, projects or work (joins, aggregations, window functions) * Some exposure to a BI tool such as Power BI or Tableau * An understanding of data modelling concepts like fact and dimension tables * A methodical approach to troubleshooting and checking data * Clear communication, including explaining data issues to non-technical people * A genuine interest in learning, and openness to feedback and peer review * Respect for data privacy and confidentiality Experience with Python or PySpark, Microsoft Fabric or Databricks, Git, AI coding assistants, or a certification like PL-300 or DP-600 is a bonus, but not essential. We'll help you build these skills. Are we what you're looking for? Pacific Smiles is a rapidly growing professional company. We have 2000+ staff who work together with passion, positivity and a desire to be the best. At Pacific Smiles Group, employees are recognised and rewarded for their contributions, and there is a strong emphasis on career and professional development. We also provide: * Workplace flexibility to support life balance, including hybrid working once your training period is complete, and a supportive leadership team dedicated to a culture of excellence * An ongoing commitment to training and development, including structured onboarding with an experienced engineering team * A corporate health and wellness program * An exciting reward and recognition program * Extra perks that make a great office environment, like fruit baskets and morning teas (any excuse for cake will do here!) Ready to apply? Submit your application by 16th November or ASAP!

Data & Performance Analyst (Sydney/Melbourne/Brisbane)

From $500/yr

JMC Academy is undergoing a significant data and technology transformation — migrating our CRM to HubSpot, building a Microsoft Fabric data-lake, and embedding AI-driven decision making using Claude etc. We need the analyst who will turn that infrastructure into intelligence. About Jmc Academy JMC Academy teaches approximately 2,500 students per year across campuses in Sydney, Melbourne and Brisbane — offering degrees and diplomas in Creative Courses. Role Summary The Data \& Performance Analyst is the data engine of JMC Academy's Customer Division — providing the intelligence that drives performance across marketing, sales, admissions, onboarding, product, pricing, industry partnerships and alumni engagement. This role sits at the intersection of data engineering, business intelligence, digital analytics and performance marketing. You will manage data pipelines into our Microsoft Fabric data lakehouse, maintain CRM data quality in HubSpot, build Power BI dashboards, integrate external demand and market intelligence, drive digital channel performance, and help the entire Customer function make faster, smarter decisions. TECHNOLOGY ENVIRONMENT HubSpot CRM, Microsoft Fabric, Power BI, SQL, Dynamics 365 ERP, Paradigm SMS, Canvas LMS, VTAC/UAC/QTAC, Burning Glass/Lightcast, Claude AI, Google Analytics 4, Google Ads, Meta Ads Manager, Microsoft Ads Key Responsibilities Data Infrastructure and Management * Manage and develop JMC's Microsoft Fabric data lakehouse — building and maintaining pipelines from Dynamics ERP, Paradigm SMS, Canvas LMS and HubSpot CRM * Write and maintain SQL queries to extract, transform and load data across JMC's systems and third-party sources * Manage HubSpot CRM data quality including configuration, segmentation, hygiene and system integrations External and Third-Party Data Analysis * Consume, process and analyse data from VTAC, UAC and QTAC to understand student demand, application volumes and competitive positioning * Analyse Department of Education and TEQSA datasets to monitor sector trends and competitive dynamics * Integrate and leverage Burning Glass/Lightcast and LinkedIn Talent Insights to inform course relevance and graduate employability Digital Channel Analytics and Performance * Own digital analytics across GA4, HubSpot, Google Ads, Meta Ads Manager and Microsoft Ads * Monitor website performance, lead generation, conversion rates and campaign attribution * Utilise DSP, DMP and CRM data to build automated campaign journeys and precision audience targeting Performance Reporting and Dashboards * Design, build and maintain Power BI dashboards covering the full customer journey from lead to enrolment * Produce regular performance reports for the CCO and marketing leadership * Develop team-specific dashboards for Marketing, Sales, Admissions, Outreach and Onboarding * AI-Driven Decision Making * Embed Claude as an active tool for data analysis and decision support across the Customer function * Champion a data-driven culture making data accessible and actionable for all team members Cross-Functional Support Provide analytics support for Marketing, Sales and Admissions, Onboarding, School and Agent Outreach, Product/Pricing/Profile Planning, and Industry Partnerships and Alumni Engagement. Essential WHAT WE ARE LOOKING FOR * 3 to 6 years of experience in data analytics, business intelligence, digital performance or marketing technology * Strong SQL skills — able to write and maintain queries without assistance * HubSpot CRM experience including configuration, data management and workflow automation * Microsoft Fabric or equivalent data lakehouse experience (Azure Data Factory or Synapse considered) * Power BI proficiency including DAX, dashboard design and multi-source data modelling * Digital analytics experience across GA4, Google Ads and Meta Ads Manager * Experience with DSP/DMP/CRM data integration for audience targeting and automated campaigns * Ability to translate complex data into clear, commercially relevant insights for non-technical stakeholders Highly Regarded * Experience with VTAC, UAC or QTAC tertiary admissions data * Knowledge of Department of Education, TEQSA or QILT data frameworks * Experience with Burning Glass/Lightcast or LinkedIn Talent Insights * Familiarity with Paradigm SMS, Canvas LMS or Microsoft Dynamics ERP * Experience using AI tools including Claude or ChatGPT for analytics workflows * Python or R for advanced analysis and automation WHY THIS ROLE * Technology transformation moment — help build JMC's data infrastructure from the ground up as we implement Microsoft Fabric, HubSpot and Claude * Extraordinary data breadth — internal CRM, ERP, LMS and SMS unified with TAC demand feeds, DoE datasets and Burning Glass labour intelligence * AI-forward environment — Claude is being actively embedded into analytics workflows * Whole-of-function scope — analytics backbone for every team in the Customer Division * Executive visibility — direct reporting line to the Chief Customer Officer * Flexible campus base — Sydney, Melbourne or Brisbane How To Apply Please apply with your CV and a brief note telling us: * The most complex data environment you have worked in and how you made sense of it * A specific example of how your analysis changed a business or marketing decision * The tools and platforms you are most proficient in and what you are currently learning JMC Academy is committed to diversity, equity and inclusion. We encourage applications from people of all backgrounds, cultures and identities.

Data Analyst

From $45,000/yr

Title: Data Analyst Location: Manchester (Hybrid - 2 days per week in the office) Salary: £45,000 - £65,000 DOE Industry: Fintech The Opportunity I'm currently working with an innovative fintech business in Manchester that is looking to hire a Data Analyst to join its growing data and technology team. The organisation develops technology-led financial products and services, using data to improve customer experiences, optimise financial performance and support business growth. As the business continues to expand, it's investing in its data capabilities to make better use of the information it collects and strengthen its analytical capabilities across the organisation. This is a hands-on analytical opportunity where you'll work with large and varied datasets, develop reporting solutions and translate complex information into meaningful commercial insights. You'll play an important role in understanding customer behaviour, monitoring business performance and identifying opportunities to improve products, processes and overall business efficiency. You'll work closely with stakeholders across product, finance, operations, technology and senior leadership, helping turn data into actionable insights that influence business decisions. The role will also involve developing dashboards, improving reporting processes and ensuring key business metrics are accurate, accessible and understood. The ideal candidate will have strong SQL skills, experience with Power BI or Tableau and the ability to communicate analytical findings to both technical and non-technical audiences. Experience working within fintech, financial services, banking, payments or another technology-led environment would be particularly valuable. If you're a Data Analyst looking to work within a growing fintech business, gain exposure to financial and customer data and have a genuine influence on commercial and product decisions, this could be an excellent opportunity. Key Responsibilities * Analyse large datasets to identify trends, patterns, anomalies and opportunities for business improvement. * Write and optimise SQL queries to extract, manipulate and analyse data from multiple sources. * Develop and maintain dashboards and reporting solutions using Power BI, Tableau or similar visualisation tools. * Analyse customer behaviour, transaction activity and product performance to identify meaningful business insights. * Monitor key business metrics and KPIs, highlighting trends and areas requiring further investigation. * Work closely with stakeholders across product, finance, operations, technology and commercial teams. * Translate business requirements into analytical solutions and actionable recommendations. * Investigate data discrepancies and support improvements in data accuracy, consistency and quality. * Deliver regular and ad hoc reporting to support strategic planning and operational decision-making. * Automate manual reporting processes and identify opportunities to improve analytical efficiency. * Present findings and recommendations clearly to technical and non-technical stakeholders. * Support the development of a more data-driven culture across the organisation. Essential Skills and Experience * Proven experience working as a Data Analyst or in a similar analytical role. * Strong SQL skills, including extracting, joining, manipulating and analysing complex datasets. * Experience using Power BI, Tableau or another data visualisation tool. * Strong analytical and problem-solving skills, with the ability to interpret complex information. * Experience developing dashboards, reports and performance metrics. * Ability to translate business requirements into effective reporting and analytical solutions. * Experience working with large datasets from multiple sources. * Strong attention to detail and a commitment to data accuracy and quality. * Excellent communication skills and the ability to explain analytical findings to non-technical stakeholders. * A proactive approach to problem-solving, process improvement and identifying opportunities through data. Desirable Skills and Experience * Experience working within fintech, financial services, banking, insurance, payments or another technology-led financial business. * Experience analysing financial, transactional, customer, payment or product data. * Understanding of financial products, payment processes or digital banking services. * Python experience for data analysis, automation or statistical analysis. * Advanced Excel skills, including complex formulas, pivot tables and data manipulation. * Familiarity with cloud data platforms, data warehouses or modern analytics environments such as Snowflake, Databricks or Microsoft Fabric. * Experience working with customer segmentation, customer lifetime value, retention or behavioural analytics. * Understanding of data governance, data quality and information security. * Experience presenting insights and recommendations to senior stakeholders. * Exposure to product analytics tools or experimentation, including A/B testing. Package and Benefits * Salary of £45,000 - £65,000, depending on experience. * Hybrid working, with two days per week in the Manchester office. * Opportunity to join an innovative and growing fintech business. * Exposure to financial, transactional, customer and product datasets. * Opportunity to influence commercial decisions and product development through data-driven insights. * Collaboration with stakeholders across product, finance, technology and wider business functions. * Scope to develop your technical skills and progress your analytics career within a growing organisation. * A role offering genuine responsibility, ownership and the opportunity to make a measurable business impact.

Data Analyst

From $35,000/yr

Job Overview: We are seeking a talented Data Analyst to join our team. We are committed to leveraging data-driven insights to inform decision-making and drive business growth. This is an exciting opportunity to contribute to cutting-edge research in our organisation. Job Description: - Collecting, cleaning, and transforming raw data from various sources to prepare it for analysis. - Analyzing large datasets to identify patterns, trends, and correlations. - Developing and maintaining data models, dashboards, and reports to visualize and communicate key findings. - Collaborating with cross-functional teams to understand business requirements and provide data-driven solutions. - Identifying opportunities for process improvements and efficiency gains through data analysis. - Staying updated on industry trends and best practices in data analysis and visualization. Requirements: - Proven experience as a Data Analyst or similar role, with proficiency in data analysis tools and techniques. - Strong analytical and problem-solving skills, with the ability to work with large and complex datasets. - Proficiency in SQL and experience with data visualization tools such as Tableau, Power BI, or similar. - Experience with programming languages such as Python or R is a plus. - Detail-oriented with a focus on accuracy and quality. - Ability to work independently and collaboratively in a fast-paced environment. If you are passionate about data science, we encourage you to apply for this exciting position. Please submit your CV along with a cover letter detailing your interest in the role. Only shortlisted candidates will be contacted for further steps in the selection process. Note: All positions at our organisation are paid, including internship positions. Job Type: Full-time Pay: £35,000.00 per year Work Location: In person

Staff Data Analyst

From $85,000/yr

Staff Data Analyst Salary: £85,000 - £105,000 Location: London | Hybrid/Remote Data Idols are working with a leading technology organisation that is continuing to invest in its data and analytics capabilities. They are looking for an experienced Staff Data Analyst to join their team, helping to shape commercial analytics and deliver high-impact insights that support business growth. This is an exciting opportunity to join a highly skilled, cross-functional data team, taking ownership of complex analytical challenges and influencing strategic decisions across a fast-growing technology business. The Opportunity As a Staff Data Analyst, you'll play a key role in driving advanced commercial analytics, working closely with senior stakeholders across revenue operations, customer success and wider business teams. You'll lead complex analytical initiatives helping the business better understand customer behaviour and identify opportunities. You'll also help shape analytical standards, develop scalable data models and ensure insights are delivered through reliable, well-governed data foundations. Working alongside data engineers, analytics engineers and data scientists, you'll have the autonomy to lead complex projects, solve ambiguous business challenges and influence the technical direction of commercial analytics. Skills and Experience * Expert SQL skills and strong hands-on Python experience * Advanced dbt experience * Strong experience with modern cloud data platforms, ideally GCP and BigQuery * Experience with Looker * Deep understanding of commercial analytics * Proven experience leading complex analytical initiatives from initial problem definition through to delivery * Strong commercial awareness, with the ability to translate analytical findings into meaningful business recommendations * Excellent stakeholder management skills If you're an experienced Staff Data Analyst who enjoys solving complex commercial challenges, working across the full analytics stack and influencing strategic business decisions, we'd love to hear from you. Staff Data Analyst

Data Analyst – Python, SQL & AI/ML (Onsite, Fremont or Menlo Park, CA)

$40 - $55/yr

About the Role We’re looking for a curious, analytical data analyst with strong Python and SQL skills and a solid understanding of machine learning and modern AI. You’ll work with large datasets, answer business questions with data, and help find ways AI can improve analytics work at a leading Bay Area technology company. Employment Details * Full-time, W-2 employee of 1 Data Analytics Inc., placed on a long-term client engagement * Long-term contract, renewed annually based on performance * Onsite in Fremont or Menlo Park, CA (not a remote position) Responsibilities * Write SQL to pull, join, and analyze data to find trends, rankings, and anomalies * Clean, transform, and analyze datasets using Python (Pandas) * Apply basic statistical and machine learning methods, and explain when they fit and when they don’t * Explore practical uses of LLMs, RAG, and AI agents in analytics workflows * Present findings clearly to technical and non-technical stakeholders Required Experience * 5+ years of professional experience in data analysis, data engineering, or software development (experience gained before or during graduate school counts) Required Skills Python and Data Manipulation * Pandas: reading, cleaning, and manipulating datasets * Core data structures: lists, tuples, dictionaries, and sets * Loops, conditions, functions, calculations, and data transformations SQL * JOINs, CTEs, and aggregations * Window functions such as RANK(), DENSE_RANK(), LAG(), and LEAD() * Writing SQL to identify trends and rankings Machine Learning and Statistics * Regression and classification; supervised vs. unsupervised learning * Training and testing data, overfitting, and model evaluation basics * Correlation, mean, median, standard deviation, and distributions * Advanced ML coding is not required, but you should understand these concepts and be able to explain where they apply Modern AI Concepts * Large Language Models (LLMs), prompting, and hallucination * Embeddings and vector databases * Retrieval-Augmented Generation (RAG) and AI agents * Most importantly: ideas on how AI can be used in data analytics Communication * Able to explain your projects clearly and concisely: the problem, the data, what you personally built, the technologies you used, and the result Preferred Qualifications * Master’s degree in Computer Science, Data Science, Analytics, Statistics, Engineering, or a related field * Portfolio or GitHub projects showing relevant data or ML work Work Authorization Candidates must be authorized to work in the US for this employer without sponsorship. We welcome OPT, STEM OPT (E-Verify employer), H-4 EAD, GC EAD, green card holders, and US citizens. We are unable to sponsor or transfer H-1B visas. Interview Process * Short recruiter screen * Technical interview with a brief hands-on Python and SQL exercise How to Apply Send your resume to 1da-jobs@1dataanalytics.com and include: * Phone number * Total years of experience * Expected salary * Current location Pay: $40.00 - $55.00 per hour Expected hours: 40.0 per week Work Location: In person

Data Analyst

$58,000 - $91,800/yr

C.H. Robinson is looking for a Data Analyst who is passionate about transforming data into meaningful business insights. In this role, you will analyze complex data, identify trends and opportunities, and deliver actionable recommendations that drive business decisions. You will build and enhance impactful dashboards, reports, and solutions while partnering with leaders and cross-functional teams to solve critical business challenges. As a trusted analytics partner, you will leverage both technical expertise and business acumen to develop innovative solutions that support operational excellence and strategic growth. DUTIES AND RESPONSIBILITIES The duties and responsibilities of this position consist of, but are not limited to, the following: Data Analysis \& Insight Generation: * Demonstrates autonomy in addressing complex challenges, leveraging a blend of technical skill and business acumen to identify effective solutions. * Extract, clean, and interpret data to address complex, ambiguous business questions. * Conduct proactive analyses that identify key trends, behaviors, and opportunities for operational or strategic improvement. * Translate findings into clear, actionable recommendations supported by data. * Perform validation and quality assurance testing of reports, dashboards, and data sets, including user acceptance testing (UAT) when appropriate. * Collaborate with leadership and cross-functional stakeholders to influence decisions using data-driven insights. Reporting \& Business Intelligence Development: * Design, build, and maintain BI solutions, including reports, dashboards, and data models. * Translate business needs into effective visualizations using tools such as Power BI or Tableau. * Enhance and support existing reports and dashboards to ensure accuracy, performance, and alignment with evolving business needs. * Act as a subject matter expert (SME) for BI tools and visual reporting best practices. * Stay current with new data tools, methodologies, and industry trends to continuously enhance the team’s analytical capabilities. * Maintain accurate and up-to-date technical documentation, process flows, and reporting standards. Stakeholder Collaboration \& Consulting: * Serve as a consultative partner to internal teams, helping them understand and utilize data to drive outcomes. * Build strong relationships with business partners to identify opportunities and ensure alignment between analytics and business goals. * Collaborate with other analytical teams to design comprehensive, integrated solutions that deliver value across the network. QUALIFICATIONS Required: * High School Diploma or GED * Minimum 2 years previous analytics experience developing business solutions using comprehensive, robust data assets Preferred: * Bachelor’s degree from an accredited college or university * Intermediate knowledge and practical application of a programming language (Python/R/Etc.) * Intermediate proficiency with SQL (TSQL/Snowflake/Etc) * Intermediate proficiency with Business Intelligence tools (PowerBI/Tableau/Etc) * Advanced proficiency with MS Excel, and strong working proficiency with the broader MS Office Suite of programs * Foundational understanding of statistical concepts and how to apply to real world data * Comfortable working autonomously, but willingly seeks guidance * Strong understanding of data fundamentals and passion for data integrity, testing, and validation. * Proven ability to think creatively to develop a data model or perspective to answer challenging business problems or scenarios * Ability to approach complex challenges from multiple perspectives and deliver innovative, effective solutions in dynamic environments * Proactive and self-motivated learner with curiosity and drive to independently seek out knowledge, resources, and growth opportunities * Comfortable interacting with and integrating Gen AI into daily workflows. * Logistics and supply chain experience * Effective communicator and data/reporting/business liaison through multiple mediums * Values a diverse and inclusive work environment Disclaimer: This job description is intended to generally describe the nature and level of work to be performed by employees in this position. It is not intended to be construed as an exhaustive list of all responsibilities and skills required of employees performing this role. We will review applications for this role on an ongoing basis and encourage all interested candidates to apply at their earliest convenience. Compensation Range $58,000.00 - $91,800.00 The base pay range displayed on the job posting reflects the minimum and maximum base pay for this specific location. Your individual base pay within this range is determined by job-related skills, experience, and relevant education or training. Compensation details listed in this posting reflect the base pay only and do not include additional variable compensation. Questioning if you meet the mark? Studies have shown that some individuals may be less likely to apply unless they match the job description exactly. Here at C.H. Robinson, we’re building an inclusive workplace where all employees feel they belong. If this position excites you, we welcome you to apply whether you check all the preferred qualifications or just a few. You may just be our next great fit! Equal Opportunity C.H. Robinson is proud to be an Equal Opportunity Employer. We are committed to a workplace and performance culture that reflects the strengths of our worldwide marketplace. We value unique experiences and diverse backgrounds of our people within our company, our business relationships, and our communities. We’re committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected. EOE\Disabled\Veteran Benefits Your Health, Wealth and Self Your total wellbeing is the foundation of our business, and our benefits support your financial, family and personal goals. We provide the top-tier benefits that matter to you most, including: * Three medical plans which include * + Prescription drug coverage + Enhanced Fertility benefits * Flexible Spending Accounts * Health Savings Account (including employer contribution) * Dental and Vision * Basic and Supplemental Life Insurance * Short-Term and Long-Term Disability * Paid observed holidays * 2 paid floating holidays for U.S. hourly employees * Flexible Time Off (FTO) offered to U.S. salaried employees — no accruals and no caps. Paid Time Off (PTO) offered to all other employees in the U.S. and Canada * Paid parental leave * Paid time off to volunteer in your community * Charitable Giving Match Program * 401(k) with 6% company matching * Employee Stock Purchase Plan * Plus a broad range of career development, networking, and team-building opportunities Learn more about our benefit offerings on our BENEFITS \& WELLBEING page

Data Analyst

From $535/yr

* Job ID: J53552 * Job Title: Data Analyst * Location: Richmond, VA * Duration: 12 Months + Extension * Domain Exposure: Telecom * Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD * Client: To Be Discussed Later * Employment Type: W-2, 1099, C2C Job Summary We are seeking an experienced Data Analyst to collect, analyze, interpret, and visualize business data to support data-driven decision-making. The ideal candidate should have strong expertise in SQL, Excel, Python, data visualization tools, and reporting. Key Responsibilities * Collect, clean, validate, and analyze data from multiple sources. * Develop dashboards, reports, and data visualizations. * Write complex SQL queries to extract and manipulate data. * Identify trends, patterns, and business insights. * Work with business stakeholders to understand data requirements. * Perform data quality checks and resolve data discrepancies. * Prepare reports and present analytical findings to management. * Collaborate with data engineering and business intelligence teams. * Automate recurring reports and improve data analysis processes. Required Technical Skills * Strong SQL and database querying experience. * Advanced Microsoft Excel skills. * Experience with Power BI or Tableau. * Knowledge of Python for data analysis. * Strong understanding of data modeling and data validation. * Experience with ETL processes and data warehousing. * Knowledge of statistical analysis and data interpretation. * Strong communication and problem-solving skills. Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Data Analyst

From $535/yr

* Job ID: J53561 * Job Title: Data Analyst * Location: Aurora, CO * Duration: 6 Months + Extension * Domain Exposure: Media/ Entertainment * Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD * Client: To Be Discussed Later * Employment Type: W-2, 1099, C2C We are looking for an experienced Data Analyst responsible for collecting, analyzing, interpreting, and visualizing business data to support organizational decision-making. The candidate should have strong experience in SQL, Excel, Python, Power BI, Tableau, data reporting, and statistical analysis. Roles and Responsibilities * Collect, clean, validate, and analyze large datasets from multiple sources. * Write complex SQL queries to extract and manipulate data from relational databases. * Develop interactive dashboards and reports using Power BI and Tableau. * Perform data analysis to identify business trends, patterns, and insights. * Create daily, weekly, and monthly reports for business stakeholders. * Perform data cleansing, transformation, and validation to ensure data accuracy. * Work with business teams to understand reporting requirements and business objectives. * Develop KPIs, metrics, and performance reports to track business performance. * Use advanced Excel functions, Pivot Tables, VLOOKUP, XLOOKUP, and Power Query. * Perform exploratory data analysis (EDA) to identify trends and anomalies. * Automate recurring reports and improve reporting efficiency. * Collaborate with data engineers, business analysts, and management teams. * Identify data quality issues and recommend appropriate solutions. * Prepare presentations and communicate analytical findings to stakeholders. * Support business intelligence and data-driven decision-making initiatives. Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Senior Data Analyst

From $199/yr

K\&K Talents is an international recruiting agency that has been providing technical resources in the European region since 1993. This position is with one of our clients in United Kingdom who is actively hiring candidates to expand their teams. Role: Senior Data Analyst Location: London, UK Employment Type: Contract Role Overview We are looking for an experienced Data Analyst with strong expertise in statistical analysis, causal modeling, machine learning, and data visualization. The ideal candidate must have hands-on experience with Python and SQL, along with Tableau/BI tools, and excellent communication skills. Key Responsibilities * Perform statistical analysis, probabilistic modeling, and causal inference. * Use SQL to manipulate, transform, and model data. * Use Python or R for statistical modeling, machine learning, and data visualization. * Apply experimental design, hypothesis testing, and explanatory machine learning. * Use Tableau to create interactive visualizations and dashboards. * Derive actionable insights beyond basic data exploration and reporting. * Communicate analytical findings clearly to technical and business stakeholders. Required Skills \& Experience * 5+ years of hands-on experience with Python and SQL , used on a weekly basis. * Strong experience in statistical analysis and causal modeling. * Practical experience with machine learning and experimental analysis. * Hands-on Tableau/BI experience; 5+ years preferred. Note: Applicants for employment in United Kingdom should possess work authorization which does not require sponsorship by the employer for a visa.

Data Analyst (m/w/d)

Zur Verstärkung unseres Teams in Berlin oder Hamburg suchen wir dich als Data Analyst (m/w/d) DEINE AUFGABEN * Als Mitglied des Data Subscription Teams bist du verantwortlich für alles rund um das Thema Data Analytics * Du bearbeitest Daten aus verschiedenen Quellsystemen effizient in der Google Cloud Platform und führst sie mit Tools wie dbt sinnvoll zusammen, um eine konsistente Datenbasis und bestmögliche Qualität der Daten zu gewährleisten * Ob einfache Analyse, Dashboard oder Machine Learning Modell – du setzt das richtige Mittel für den jeweiligen Zweck ein * Mit den Fachbereichen Lesermarkt, Lesergewinnung und Leserbindung arbeitest du eng zusammen, um datengetriebene Entscheidungen zu unterstützen und die Vertriebsstrategie kontinuierlich zu optimieren * Du arbeitest eng mit den Engineers deines Teams zusammen, um die benötigten Daten und das Design der Datenbereitstellung zu gestalten DEIN PROFIL * Du weißt, auf welche KPIs es im Vertrieb ankommt und möchtest, dass deine Analysen einen messbaren Beitrag zum Unternehmenserfolg leisten * Du besitzt Erfahrung als Data Analyst und fortgeschrittene Kenntnisse in SQL sowie mindestens einer Programmiersprache wie R oder Python * Auf dich kann man sich verlassen, du übernimmst gerne Verantwortung und Ownership ist für dich nicht nur eine Floskel * Du bringst neben fließendem Deutsch auch Offenheit, Kommunikationsstärke und Teamfähigkeit mit * Eine sorgfältige Arbeitsweise und hohe Eigenmotivation runden dein Profil ab Deine Benefits * Innovation trifft Tradition: Du gestaltest die digitale Transformation unserer Mediengruppe mit * Entwickle dich mit uns: Wir ermöglichen dir die Teilnahme an individuellen Coachings, Workshops oder (Online)-Trainings im Rahmen unserer FUNKE Akademie * Flexibel arbeiten: Wir leben ein hybrides Arbeitsmodell, weil uns deine Work-Life-Balance wichtig ist * Teamwork: Dich erwarten ein dynamisches Team, eine offene Feedbackkultur, kurze Kommunikationswege und ein herzliches Miteinander * Corporate Benefits: Wir bieten dir ein Benefit-Portal mit attraktiven Rabatten und Abos * Halte dich fit und gesund: Profitiere von unseren Kooperationen mit verschiedensten Fitnessstudios und lasse dich für deine mentale und körperliche Gesundheit individuell beraten Haben wir dein Interesse geweckt? Dann gestalte mit uns die Zukunft und sende uns deine Bewerbung an Steffen Flach.

(Junior) Data Analyst mit Schwerpunkt militärische Luftfahrzeuge (m/w/d)

Beschreibung der Stelle: In unseren Competence Centern "Data Platforms" und "Data Analytics" unterstützen wir unseren Kunden in der Datenanalyse von Betriebsdaten, Sensordaten und logistischen Daten komplexer militärischer Systeme. Im Competence Center Data Analytics sind wir dabei verantwortlich für die Anteile Data Science und Advanced Analytics. Der Geschäftsbereich Defence \& Security ist in besonderer Weise den Streitkräften verpflichtet und ein anerkannter technischer Dienstleister auf nationaler und internationaler Ebene bei der Konzeption von Lösungen, der Begleitung von Analyse, Entwicklungs- und Realisierungsvorhaben und der Bereitstellung von Serviceleistungen. Sie verstärken unser Datenanalyseteam und bringen Ihre Kenntnisse und Erfahrungen im Bereich Data Science in unsere laufende Projektarbeit ein. Gleichzeitig unterstützen unsere Kolleg:innen Sie insbesondere zu Beginn intensiv bei der fachlichen Einarbeitung in unsere Datenlandschaft. Tätigkeit: * Verstärkung des Teams in der Analyse von Waffensystemdaten mit Schwerpunkt auf System-, Betriebs- und Logistikdaten militärischer Luftfahrzeuge * Erschließung verschiedener Datenquellen mit Informationen zu Betrieb, Wartung und Instandhaltung der Waffensysteme sowie Unterstützung beim Aufbau und der Weiterentwicklung einer Datenplattform zur Sicherstellung einer konsistenten Gesamtdatenlage * Sichtung, Visualisierung, Bewertung, Verknüpfung und Bereinigung der verfügbaren Datenlieferungen sowie deren Integration in die bestehende Datenanalysepipeline * Analyse der Kundenanforderungen und Rahmenbedingungen zur Entwicklung stabiler und qualitativ hochwertiger Lösungen * Entwicklung von Python-Programmen einschließlich Dokumentation zur Sicherstellung der Datenanalyse für spezifische Fragestellungen, Erweiterung und Pflege bestehender Code-Strukturen sowie Unterstützung des Teams durch Code Reviews Voraussetzungen: * Praktische Erfahrung im Bereich pythonbasierter Data Science-Methoden und -Tools, idealerweise mit Kenntnissen in Advanced Analytics-Methoden * Abgeschlossenes Studium in Ingenieurswissenschaften, Informatik, Mathematik, Physik oder vergleichbar * Starkes Interesse an der tiefgehenden Analyse von Waffensystemdaten und dem Aufbau eines tiefgehenden Verständnisses für die zu Grunde liegenden Nutzung des Waffensystems * Strukturierte und eigenverantwortliche analytische Arbeitsweise, verbunden mit hohem Qualitätsbewusstsein und starker Teamorientierung * Expertise in der Konzeption und Umsetzung von Datenanalyse-Projekten zeichnet Sie aus * Sehr gute Deutschkenntnisse in Wort und Schrift Ziele: Durch den Ausbau unserer Beratungs- und Analysekompetenzen leisten Sie einen entscheidenden Beitrag zur Weiterentwicklung unserer Leistungen, zur Zufriedenheit unserer Kunden und damit zum nachhaltigen Geschäftserfolg.

Senior Data Analyst - CRM (m/f/d)

From $12/yr

<p style="line-height: 1.4;"><span style="font-size: 12pt;">At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable. &nbsp;</span></p> <p style="line-height: 1.4;"><span style="font-size: 12pt;">As a<strong data-renderer-mark="true"> Senior Data Analyst (m/f/d),</strong> you will join our global CRM team. This is an important role for CRM at Flix as we expand our capabilities, redefine our communication strategy and constantly optimize for maximum growth, as well as scalability and efficiency. We support global market growth with our marketing activities to increase repeated purchases and prevent churn. We always aim for cutting-edge technologies and a high level of innovation. By joining our team, you will be a crucial part of driving the team forward, developing our brands and customer communication throughout the globe.</span></p> <p><span style="font-size: 24pt;"><strong data-renderer-mark="true">About the Role</strong></span></p> <div> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Own CRM analytics and reporting across 45+ markets, delivering clear visibility into performance, customer behavior, and commercial impact</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build and maintain Power BI dashboards providing real-time tracking of CRM performance, targets, and business trends</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Deliver actionable insights on campaign performance, drivers of customer behavior, value-generating segments, and cross-market differences</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop scalable, automated reporting solutions alongside deep-dive analyses and ad hoc business investigations</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Monitor and optimize key CRM KPIs (engagement, conversion, retention, reactivation, communication effectiveness) and customer lifecycle performance</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Partner with CRM, data, and product teams to improve segmentation, personalization, experimentation, tracking quality, and data reliability</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Evaluate A/B tests and proactively identify trends, anomalies, risks, and opportunities, presenting clear recommendations to senior stakeholders</span></li> </ul> </div> <p><span style="font-size: 24pt;"><strong>About You</strong></span></p> <div> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">5+ years of experience in data analytics or BI, ideally within CRM, marketing, or e-commerce environments</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proven track record of building dashboards and automated reporting solutions for non-technical stakeholders</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong SQL expertise (CTEs, window functions, multi-table joins) in a modern cloud data warehouse, preferably Snowflake</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Advanced Power BI skills including data modeling, DAX, and best-practice dashboard design and visualization</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Solid understanding of marketing and CRM KPIs (conversion, engagement, attribution, customer lifetime value)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience working cross-functionally with product, engineering, and marketing/CRM teams; familiarity with marketing automation tools (e.g., Braze is a plus)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong data storytelling, statistical literacy (e.g., significance testing), and a structured, detail-oriented, and autonomous working style</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proficiency in English</span></li> </ul> </div> <p style="line-height: 1.4;"><span style="font-size: 12pt;">We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you! &nbsp;</span></p> <p><span style="font-size: 24pt;"><strong>What We Offer</strong></span></p> <ul> <li data-renderer-start-pos="11445"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Travel perks</strong>: 12 free Flix vouchers + 12 discount vouchers for friends &amp; family.&nbsp;</span></li> <li data-renderer-start-pos="11530"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Work from (M)Anywhere</strong>: Depending on your role, work from another location for up to 60 days per year.&nbsp;</span></li> <li data-renderer-start-pos="11636"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Hybrid work model</strong>: We are an office-first company, but we offer flexibility to balance work and life.&nbsp;</span></li> <li data-renderer-start-pos="11742"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Wellbeing support</strong>: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.&nbsp;</span></li> <li data-renderer-start-pos="11877"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Learning &amp; Development</strong>: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.&nbsp;</span></li> <li data-renderer-start-pos="12004"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Mentoring Program</strong>: Connect with experienced colleagues to gain insights and accelerate your career.&nbsp;</span></li> </ul> <p style="line-height: 1.4;"><span style="font-size: 12pt;">To view more local benefits specific to each office location, please check out this link:&nbsp;<a href="https://flix.careers/locations/">Locations - Flix Career</a></span></p> <hr> <p style="line-height: 1.4;"><span style="font-size: 18pt;"><strong>Why Join Flix?</strong></span></p> <p style="line-height: 1.4;" data-renderer-start-pos="12125"><span style="font-size: 12pt;">At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.</span><br><span style="font-size: 12pt;">As we continue to expand across the globe, you can make a real difference in how we work.</span></p> <p data-renderer-start-pos="12434"><span style="font-size: 12pt;">If you’re ready to grow and lead your journey, Flix is the place for you!&nbsp;</span></p> <p><iframe src="https://www.youtube.com/embed/YlHz7TiiRAw" width="560" height="314"></iframe></p> <p>&nbsp;</p>

Senior Data Analyst - CRM (m/f/d)

From $12/yr

<p style="line-height: 1.4;"><span style="font-size: 12pt;">At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable. &nbsp;</span></p> <p style="line-height: 1.4;"><span style="font-size: 12pt;">As a<strong data-renderer-mark="true"> Senior Data Analyst (m/f/d),</strong> you will join our global CRM team. This is an important role for CRM at Flix as we expand our capabilities, redefine our communication strategy and constantly optimize for maximum growth, as well as scalability and efficiency. We support global market growth with our marketing activities to increase repeated purchases and prevent churn. We always aim for cutting-edge technologies and a high level of innovation. By joining our team, you will be a crucial part of driving the team forward, developing our brands and customer communication throughout the globe.</span></p> <p><span style="font-size: 24pt;"><strong data-renderer-mark="true">About the Role</strong></span></p> <div> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Own CRM analytics and reporting across 45+ markets, delivering clear visibility into performance, customer behavior, and commercial impact</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build and maintain Power BI dashboards providing real-time tracking of CRM performance, targets, and business trends</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Deliver actionable insights on campaign performance, drivers of customer behavior, value-generating segments, and cross-market differences</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop scalable, automated reporting solutions alongside deep-dive analyses and ad hoc business investigations</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Monitor and optimize key CRM KPIs (engagement, conversion, retention, reactivation, communication effectiveness) and customer lifecycle performance</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Partner with CRM, data, and product teams to improve segmentation, personalization, experimentation, tracking quality, and data reliability</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Evaluate A/B tests and proactively identify trends, anomalies, risks, and opportunities, presenting clear recommendations to senior stakeholders</span></li> </ul> </div> <p><span style="font-size: 24pt;"><strong>About You</strong></span></p> <div> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">5+ years of experience in data analytics or BI, ideally within CRM, marketing, or e-commerce environments</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proven track record of building dashboards and automated reporting solutions for non-technical stakeholders</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong SQL expertise (CTEs, window functions, multi-table joins) in a modern cloud data warehouse, preferably Snowflake</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Advanced Power BI skills including data modeling, DAX, and best-practice dashboard design and visualization</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Solid understanding of marketing and CRM KPIs (conversion, engagement, attribution, customer lifetime value)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience working cross-functionally with product, engineering, and marketing/CRM teams; familiarity with marketing automation tools (e.g., Braze is a plus)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong data storytelling, statistical literacy (e.g., significance testing), and a structured, detail-oriented, and autonomous working style</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proficiency in English</span></li> </ul> </div> <p style="line-height: 1.4;"><span style="font-size: 12pt;">We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you! &nbsp;</span></p> <p><span style="font-size: 24pt;"><strong>What We Offer</strong></span></p> <ul> <li data-renderer-start-pos="11445"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Travel perks</strong>: 12 free Flix vouchers + 12 discount vouchers for friends &amp; family.&nbsp;</span></li> <li data-renderer-start-pos="11530"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Work from (M)Anywhere</strong>: Depending on your role, work from another location for up to 60 days per year.&nbsp;</span></li> <li data-renderer-start-pos="11636"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Hybrid work model</strong>: We are an office-first company, but we offer flexibility to balance work and life.&nbsp;</span></li> <li data-renderer-start-pos="11742"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Wellbeing support</strong>: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.&nbsp;</span></li> <li data-renderer-start-pos="11877"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Learning &amp; Development</strong>: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.&nbsp;</span></li> <li data-renderer-start-pos="12004"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Mentoring Program</strong>: Connect with experienced colleagues to gain insights and accelerate your career.&nbsp;</span></li> </ul> <p style="line-height: 1.4;"><span style="font-size: 12pt;">To view more local benefits specific to each office location, please check out this link:&nbsp;<a href="https://flix.careers/locations/">Locations - Flix Career</a></span></p> <hr> <p style="line-height: 1.4;"><span style="font-size: 18pt;"><strong>Why Join Flix?</strong></span></p> <p style="line-height: 1.4;" data-renderer-start-pos="12125"><span style="font-size: 12pt;">At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.</span><br><span style="font-size: 12pt;">As we continue to expand across the globe, you can make a real difference in how we work.</span></p> <p data-renderer-start-pos="12434"><span style="font-size: 12pt;">If you’re ready to grow and lead your journey, Flix is the place for you!&nbsp;</span></p> <p><iframe src="https://www.youtube.com/embed/YlHz7TiiRAw" width="560" height="314"></iframe></p> <p>&nbsp;</p>

Commercial Data Analyst (m/f/d)

From $30/yr

JOIN OUR TEAM As a Commercial Data Analyst, you will play a pivotal role in enabling the Brand Buying and Category Management teams as well as commercial leadership to make high-impact, data-driven decisions. You will own several important data products (dashboards, business processes, etc.) with touchpoints across Brand Buying, Category Management, and the wider commercial organisation. Working directly with key stakeholders across our business, you will translate complex retail data into measurable commercial impact. This position is permanent and based in Munich. WHAT YOU'LL DO * Own recurring commercial reporting and KPI frameworks across brand performance, supplier health, category margins, sell-through, and inventory health for relevant teams and their leadership * Drive strategic commercial decisions through deep dives and business cases on supplier negotiations, dynamic pricing, range reviews, seasonal planning, and stock optimisation * Shape market intelligence by identifying, acquiring, and transforming external market and assortment data into actionable competitor insights * Champion commercial data governance and quality, guaranteeing accuracy and consistent definitions while partnering with Data Engineering to maintain scalable models in Snowflake * Build and deploy automated workflows, AI coding agents, and scalable dashboards to eliminate manual reporting loops and accelerate decision-support tooling * Lead analytics initiatives end-to-end, from business problem discovery and metric definition to stakeholder alignment and commercial impact tracking YOU COME WITH * 3+ years of experience in a data or commercial analytics role, ideally within e-commerce or retail supporting buying, merchandising, or category management * Strong SQL proficiency with hands-on experience handling large, complex datasets; practical exposure to dbt or Python is considered an advantage * Solid understanding of A/B testing and statistics, paired with practical experience building interactive dashboards using tools like Streamlit or Tableau * Proven track record of translating complex business questions into clear KPIs, actionable analyses, and commercially sound recommendations * Familiarity with modern AI tools, including coding agents and LLM-assisted workflows, as part of your day-to-day analytical toolkit * Fluency in English as well as excellent communication and presentation skills across technical and non-technical stakeholders WHY WESTWING If you are looking for a place where ambition meets creativity, where ideas turn into impact fast, and where people are trusted to grow - you have found it. At Westwing, we’re building the Superbrand in Design with a team that’s shaping the future of beautiful home \& living. Here is what you can look forward to: * A high-performance culture built on trust, feedback and collaboration * An inspiring, international environment that empowers you to think big, take ownership, and grow beyond your comfort zone * In-Office Culture: 4 office days per week (Mon-Thu) dedicated to fast decision-making, high-impact collaboration, and strong team connections * Work-from-anywhere opportunities for up to 4 weeks per year - as fresh perspectives spark bold ideas * 30 days of paid holiday to rest, recharge, and come back ready to create * A beautiful, centrally located, dog-friendly office with inspiring spaces, a sunny terrace, and good food - designed for moments that energise and connect * Exclusive discounts - 40% off Westwing Collection, 20% off third-party brands (each on non-reduced items), and 20% Family \& Friends discount on Westwing Collection, plus special-occasion vouchers * Wellbeing support through mental health resources, sports memberships, and preventive care * Sustainable mobility options with discounted public transport and JobRad - moving with purpose and care for the planet * Support for working parents, including our on-site Westwing Wichtel daycare and a partnership with multilingual provider Elly \& Stoffl * One annual Social Impact Day to give back to a cause you care about - because being human is our true superpower * Team rituals that celebrate results and togetherness - from Movie Nights and Oktoberfest to Summer \& Winter Parties ABOUT US Westwing, Europe’s #1 in Beautiful Living e-commerce, is present in 20+ European countries and achieved a GMV (Gross Merchandise Volume) of EUR 507 million in 2025. As Europe’s premium one-stop destination for Design Lovers, it offers a unique brand experience with a carefully curated assortment of the Westwing Collection and 3rd party design brands. The integrated platform combines Shop, Daily Specials, Stores, the B2B Service (Westwing Business) and the Westwing Design Service. Westwing’s team works together on its shared purpose to “Excite people to create homes that unlock the full beauty of life”. Founded in 2011, Westwing is headquartered in Munich and went public on the Frankfurt Stock Exchange in October 2018. Our team is a diverse group of professionals aiming for high performance, working together at a fast pace in an inspiring, international and informal environment that enables you to grow your career while working with a brand and products our customers love. We’re made up of passionate people who are creative enough to disrupt the status quo, brave enough to fail and smart enough to win. So come, be part of the “wow, you work at Westwing?” crowd. Diversity is deeply rooted in our culture. Our mission doesn’t stop to inspire only your design choices, it continues to embrace an inclusive lifestyle filled with respect to everyone’s uniqueness, cultural differences and equal opportunity. Department Sales \& Category Management

VIE - Fleet Data Analyst CMAX (w/m/d) 1 1

From $80,000/yr

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. In the DACH region, Alstom employs approximately 11,000 people across 16 locations . Could you be the full-time Fleet Data Analyst in Hennigsdorf we’re looking for? Your future role Take on a new challenge and apply your technical expertise in a new cutting-edge field. You’ll work alongside collaborative and innovative teammates. You'll play a key role in ensuring the seamless collection, analysis, and evaluation of critical data to enhance maintenance and operational performance. Day-to-day, you’ll work closely with teams across the business (such as Engineering, Service Centers, and suppliers), assess the quality of data sources, and provide actionable insights based on your analyses—and much more. You’ll specifically take care of integrating operational data into analysis environments for technical evaluations, but also conducting in-depth assessments of diagnostic systems and data trends. We’ll look to you for * Ensuring data collection from relevant sources, such as TCMS, TrainScanner, infrastructure systems, and sensors * Analyzing the technical performance of data collection systems and evaluating the quality of existing data sources * Identifying additional data sources, including new sensor technologies * Performing targeted analyses of predefined indicators and key focus areas, such as increased failure rates or wear patterns * Graphically preparing data trends and evaluating maintenance and reliability parameters * Collaborating with various stakeholders to validate and clarify technical findings All About You We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: * A completed technical education or vocational training (e.g., state-certified technician or equivalent) with relevant professional experience * Proficient in English. German is a plus. * High IT affinity and knowledge with programming \& AI prompting * Experience or understanding of data collection and business intelligence systems * Knowledge of data analysis methodologies and tools * Self-reliant, structured, and results-oriented working style * Excellent teamwork and communication skills Things you’ll enjoy Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You’ll also: * Enjoy stability, challenges and a long-term career free from boring daily routines * Work with cutting-edge technologies for rail diagnostics and performance analysis * Collaborate with transverse teams and helpful colleagues * Contribute to innovative projects that shape the future of mobility * Utilise our flexible and inclusive working environment * Steer your career in whatever direction you choose across functions and countries * Benefit from our investment in your development, through award-winning learning * Progress towards advanced roles in technical analysis, engineering, or data science You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you! Important to note As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.

APS5 Associate Business Analyst - data science platforms

From $12/yr

Our client is a Federal Government agency seeking an APS5 Associate Business Analyst to support the delivery of innovative data science, machine learning and artificial intelligence initiatives. This role combines business analysis, stakeholder engagement and project delivery support, helping translate business needs into practical solutions while supporting governance and delivery activities. * 12 month contract + 12 month extension, APS5 level, rates negotiable * Richmond or Geelong location, hybrid flexibility, minimum 3 days per week in office * Fed Gov role - must be Australian Citizen and eligible to obtain security clearance The role Working within a multidisciplinary AI and Data Science team, the Associate Business Analyst will support the discovery, planning and delivery of technology initiatives, from early-stage concepts through to pilots and implementation. The role involves gathering and documenting business requirements, facilitating workshops, supporting Agile delivery activities and preparing governance documentation. You will also provide coordination and administrative support to senior delivery stakeholders, helping ensure projects progress effectively. Key responsibilities * Engage with business stakeholders to gather, analyse and document functional and non-functional requirements. * Translate business needs into user stories, acceptance criteria, process maps and other delivery artefacts. * Support the definition of business problems, desired outcomes, dependencies and measures of success. * Assist with Agile delivery activities, including sprint planning, backlog refinement, stand-ups, showcases and retrospectives. * Maintain project documentation, including risks, issues, decisions, actions and status reports. * Prepare business cases, impact assessments, governance submissions and executive briefing materials. * Facilitate stakeholder workshops and coordinate engagement across business and technical teams. * Support delivery planning, prioritisation and progress reporting across AI and data science initiatives. * Provide administrative and coordination support to senior stakeholders, including meeting preparation, scheduling, correspondence and action tracking. About you * Previous experience in a Business Analyst, Junior BA, or similar role within a complex delivery environment * Demonstrated experience gathering and documenting business requirements, user stories, acceptance criteria and process maps * Experience facilitating workshops and engaging with both technical and non-technical stakeholders * Understanding of Agile delivery methodologies, sprint ceremonies and backlog management * Strong documentation skills, including preparing business cases, briefing papers, governance submissions or impact assessments * Good organisational skills, with the ability to manage competing priorities, track actions and support project delivery activities * Strong communication and stakeholder engagement skills, with excellent attention to detail * Relevant tertiary qualifications in Business, IT, Project Management or a related discipline, or equivalent practical experience * Exposure to data science, AI, machine learning or technology-driven projects will be highly regarded Please note that due to our client being a federal government agency, only candidates with Australian citizenship, and who are eligible to obtain a security clearance can be considered for this role. Apply Submit your resume ASAP. For more information please reach out to Jarrodd - Jarrodd.Edwards@Talentinternational.com For over 30 years Talent has been redefining the contracting experience with industry leading support, exclusive contractor benefits \& a world-class digital platform ENGAGE to access it all. Apply today to see how we can elevate your career