Lead Data Analyst Jobs

Lead Data Analyst

From $202/yr

JOB DESCRIPTION Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. Join us as our first Senior Data Analyst and shape a brand new data discipline within our platform team. You’ll have the opportunity to define what great data analysis looks like, promote a culture of data-driven decision making, and make a real impact by partnering with product management and engineering to deliver insights that steer business outcomes. If you’re hands-on, detail-oriented, and passionate about turning data into value, this is your chance to lead and innovate. Job Summary: As a Senior Data Analyst in the platform team, you will own our data-as-a-product strategy from start to finish. You’ll collaborate with product management, engineering, and senior stakeholders to build dashboards, queries, and reports, monitor KPIs, and translate business requirements into data outcomes. You’ll define and implement best practices for data analysis, manage the data analysis backlog, and champion data-driven decision making across the department. Job Responsibilities: * Build dashboards, queries, and insight reports for senior stakeholders * Monitor department KPIs and deliver actionable insights * Collaborate across teams to interpret requirements into data outcomes * Define, implement, and manage a new data discipline in the department * Promote a culture of data-driven decision making * Own the data analysis backlog and strategy for maximizing data value * Automate and scale data operations and reporting * Lead end-to-end data projects from requirements to implementation and monitoring * Translate business problems and customer requirements into data features Partner with product, engineering, operations, and leadership to influence decisions * Required Qualifications, Capabilities, and Skills: * Proficiency with dbt, BigQuery or similar, Looker Studio Pro, Airflow or similar, pandas/polars, numpy * Advanced SQL skills for complex queries * Python proficiency for data modelling and manipulation * Experience with BI platforms for dashboards and data storytelling * Strong data visualization and dashboard design skills * Experience working with large datasets from diverse sources * Strong statistical analysis, regression, SQL, and ETL skills * Ability to develop and validate hypotheses via A/B testing, forecasting, etc. * Experience with data governance, compliance, data quality, and controls Ability to communicate complex data findings to stakeholders at all levels * Preferred Qualifications, Capabilities, and Skills: * Degree in a quantitative field (Mathematics, Statistics, Computer Science, Economics) * Experience with cloud-native platform infrastructure (GCP, AWS) * Experience in financial services * Knowledge of predictive analytics and machine learning fundamental Why Join Us? You’ll be empowered to define and lead our data strategy, working in a collaborative, innovative environment where your insights drive real business impact. This is a unique opportunity to shape the future of data analysis in our platform team and make a difference for our company and clients. #ICBCareers ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Lead Data Analyst with P&C Insurance

From $199/yr

Company Description Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America. With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies. Job Description Role: Lead Data Analyst Location: Cincinnati, OH (Onsite) Duration: Long Term We’re seeking a Lead Data Analyst with strong experience in P\&C Insurance to drive end-to-end analytics initiatives. You’ll lead a team, define KPIs, and deliver actionable insights to senior leadership. Responsibilities include building scalable data models, ensuring data quality and governance, and partnering with stakeholders to translate business needs into solutions. Requirements: * Proven experience leading complex analytics projects in P\&C Insurance * Expertise in data modeling, architecture, profiling, and quality management * Strong skills in SQL, ETL frameworks, Snowflake * Hands-on with BI tools (Power BI, Tableau, Cognos, Business Objects) * Knowledge of Microsoft Fabric is a plus * Excellent communication and leadership skills Regards, Manoj Goud Derex Technologies INC Contact : 973-834-5005 Ext 206 Additional Information All your information will be kept confidential according to EEO guidelines.

Data Analyst, Lead

From $132/yr

Where dreams and reality collide and the output is, out of this world. At Redwire Space, we are a team of dreamers and doers. Where the impossible becomes possible, and every day is an opportunity to learn and get one step closer to knowing the unknown. Join us on our mission to expand humanity's presence in space. Position Summary The Data Analyst, Lead is responsible for defining, standardizing, and enabling enterprise reporting and data frameworks. This role serves as the business process owner (BPO) for operational business intelligence and partners with IT, as well as functional leadership to translate business needs into scalable data solutions. This employee is a hands-on leader, who directly contributes to development of solutions, while managing a small team. Key Responsibilities * Leadership and Team Management * Manage and develop analyst responsible for research, reporting, and operational insights * Foster a culture of analytical rigor, accountability, and continuous improvement * Reporting Optimization * Identify gaps in reporting and data processes and drive improvements through automation, standardization, and improved data visibility * Support operational cadence with reliable and timely data outputs * Reduce manual effort and improve reporting efficiency through scalable, repeatable solutions * Insights and Analytics * Own development and standardization of enterprise operational dashboards, KPIs, and reporting frameworks * Ensure data accuracy, consistency, and usability across reporting outputs * Deliver actionable insights that support operational and executive decision-making * Cross-Functional Collaboration * Act as Business Process Owner (BPO) for operational BI, ensuring consistency, scalability, and adoption * Serve as the primary business partner to IT for BI tools, data models, and reporting architecture * Define business requirements, prioritize enhancements, and ensure delivery aligns with operational needs * Drive alignment across Finance, Programs, Engineering, and Business Segments on KPI definitions and reporting standards * Data Governance and Standards * Define and enforce data standards, KPI definitions, and reporting governance across the operational framework * Ensure consistency and integrity of data across dashboards, reporting, and analytics * Support adherence to compliance with internal controls and regulatory requirements (ITAR, SOX, etc.) as they relate to reporting and data * Executive Communication and Insights * Present insights and performance updates to senior leadership in clear and compelling formats * Ensure high-quality executive materials, including presentations, memos, and analytical outputs Key Outcomes and Impact * Establishes a standardized and scalable enterprise reporting framework across business segments * Serve as the Business Process Owner for operational BI, ensuring alignment between business needs and IT * Improve the consistency, reliability, and usability of data used in decision-making * Increase visibility into business performance through clear, timely reporting insights Ideal Experience * Bachelor’s degree in Business Analytics, Engineering, Information Systems, or a related field (or equivalent experience) * 8+ years of experience in analytics, business intelligence, operations or related role * Demonstrated experience owning or leading reporting, dashboards, or KPI framework in business environment * Experience partnering with IT or technical teams to define requirements and deliver reporting or data solutions * Strong analytical and problem-solving skills with a focus on data-driven decision-making and process improvement * Familiarity with BI tools and data querying * Experience with project based, manufacturing or government contracting environments Grow with us as we innovate the next generation capabilities for a new era of space exploration! We offer a highly competitive benefits package along with a commitment to our core values of Integrity, Innovation, Impact, Inclusion, and Excellence. Don’t meet every single requirement above? No worries. We want people who can grow, collaborate and build a stronger team. We strive to build a diverse and inclusive culture, so if you’re excited about this job posting, we encourage you to apply. You may be just the right candidate for this or other roles. Redwire is an Equal Opportunity Employer; employment with Redwire is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. All offers of employment at Redwire are contingent upon clear results of a thorough background check and your ability to provide proof of eligibility to work in the US. Note that some positions will also require US citizenship or ability to obtain a security clearance due to requirements of a classified program. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR Click Here

Lead Clinical Data Analyst

From $109,000/yr

At Johnson \& Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson \& Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson \& Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Data Analytics \& Computational Sciences Job Sub Function Clinical Data Management Job Category Professional All Job Posting Locations: Leeds, West Yorkshire, United Kingdom, Raynham, Massachusetts, United States of America, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America Job Description We are searching for the best talent for a Lead Clinical Data Analyst to join our DePuy Synthes team located in Warsaw, IN; Raynham, MA; West Chester, PA; Leeds, West Yorkshire (UK) Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Are you passionate about improving and expanding the possibilities of Orthopedics? Ready to join a team that’s reimagining how we heal? Our Orthopedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle; spine; and robotics and digital surgery. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech Johnson \& Johnson announced plans to separate our Orthopaedics business to establish a standalone Orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes. Purpose: The Lead Clinical Data Analyst will coordinate timelines and resources required to implement and maintain a variety of clinical systems as well as provide oversight and coordination of all aspects of the development and management of clinical study databases across a variety of platforms. Coordination of activities will require the development of strong, productive relationships with colleagues across the MD sector. You Will * Collaborate with Data Management leadership (including Programming and Biostatistics) to define and document data and process standards * Provide in-house project support for creation, routing and approval of all system deliverables associated with clinical systems * Support the development and maintenance of global harmonized processes and procedures for system support * Support vendor evaluation, selection, contracting, and oversight activities for outsourced systems; Assist with vendor evaluation and selection activities for clinical systems * Work with BSDM partners, and leadership in Clinical Operations and Franchise to develop project management plans for trial execution including timelines and milestones for study-specific systems set-up, UAT, maintenance and closeout as required * Lead project management activity related to the deployment of Interactive Voice/Web Response Systems (IxRS), Electronic Data Capture (EDC) Systems, CTMS, eTMF and other relevant platforms (as assigned) * Create, review and facilitate approval of system deliverables and facilitate appropriate quality review where applicable * Mentor peers through review of deliverables to minimize delays during the quality review process * Interface between Clinical R\&D, IT and Quality including CSV regarding clinical systems, UAT, processes and other tools * Facilitate support requests associated with clinical systems (as needed) * Serve as first line of contact from study initiation through go live for each clinical study. Systems may include: CTMS, eTMF, IxRS, EDCs * Facilitate the development of training materials and programs related to system set-up, UAT and ongoing maintenance as well as other relevant processes * Represent the Medical Devices Sector on Enterprise or cross-sector Clinical System teams (as needed) * Assist with the implementation of study metrics * Analyzes complex change requests to determine feasibility for incorporation within clinical studies * Evaluates vendor supplied release documentation for implementation feasibility and collaborate with appropriate partners to define project parameters * Responsible for communicating business related issues or opportunities to next management level * Responsible for ensuring personal and Company compliance with all Federal, State, local and Company regulations, policies, and procedures * Performs other duties assigned as needed Qualifications * A Bachelor’s degree (or equivalent) in Statistics, Computer Science or related discipline (required), with at least 6 years of system support in clinical research within Medical Device or Pharmaceuticals * Experience with at least one clinical system (EDC, CTMS, eTMF and IxRS) is required; Strong proficiency in more than one Clinical system preferred. Advanced certification preferred * Demonstrated ability to manage a project in a team environment to deliver critical milestones required * Must have proven experience with Medidata or Veeva systems * Excellent verbal and written communication skills required * Previous experience in Clinical Operations preferred * Experience with CDISC STDM preferred * Knowledge of GCP and SDLC preferred * Travel up to 10% Johnson \& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource Required Skills Preferred Skills: Advanced Analytics, Clinical Data Management, Clinical Operations, Collaborating, Communication, Database Management, Data Quality, Data Savvy, Good Clinical Practice (GCP), Innovation, Interdisciplinary Work, Problem Solving, Process Improvements, Research Ethics, Resource Allocation, Training People The anticipated base pay range for this position is : $109,000.00 - $174,800.00

Lead, Data Product Analyst

$140,000 - $155,000/yr

We are seeking a highly skilled Lead Data Product Analyst to join our team. This role will be responsible for delivering data-driven insights through Power BI, building and managing data product roadmaps, gathering requirements, and fostering collaboration across teams. This role is responsible for transforming complex health plan and clinical data into actionable insights that drive organizational decision-making, performance improvement, and innovation in population health. RESPONSIBILITIES: Data Strategy \& Leadership * Lead client and stakeholder data implementation projects, ensuring successful data integration and analytics delivery. * Serve as a thought partner to senior leadership, including the COO, CMO, Chief Nursing, and clinical leadership, ensuring data-driven alignment with organizational goals. * Mentor data analysts and data product developers, elevating the team from ad hoc analysis to scalable, systematic analytical operations. Analytics \& Insights Development * Apply advanced analytics to identify performance trends, cost drivers, and quality improvement opportunities. * Translate complex analyses into clear narratives and data stories that inform strategy and drive decisions across departments. * Develop interactive dashboards and reports (Power BI preferred) that make insights accessible and actionable for clinicians, executives, and business users. * Support ad hoc, time-sensitive analysis requests, maintaining analytical rigor while meeting business needs. Data Product Ownership * Define and prioritize the data product roadmap, aligning analytics solutions with business objectives. * Collaborate with cross-functional teams to translate business needs into data products, features, and improvements. * Monitor adoption and measure the impact of data products, continuously optimizing usability, speed, and strategic value. Cross-Functional Collaboration * Work closely with clinical, actuarial, and business teams to integrate analytics into VBC workflows, improving cost, quality, and outcomes. * Foster a culture of data literacy and evidence-based decision-making across the organization. * Act as a liaison between technical teams and non-technical stakeholders, ensuring mutual understanding and alignment. QUALIFICATIONS * Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Health Informatics, Information Systems, or related field. * 5+ years in healthcare data analytics, including experience with health plan claims, clinical, and EMR data. * Proven experience leading analytics or data product initiatives within healthcare organizations. * Advanced proficiency in SQL and Power BI * Experience with Databricks, Python, or R for analytics strongly preferred. * Exceptional data storytelling and communication skills, able to simplify complex analytics for diverse audiences. * Demonstrated success in cross-functional collaboration between analytics, clinical, and business stakeholders. * Strong leadership, critical thinking, and strategic decision-making abilities. Base Salary $140,000 - $155,000 with annual bonus. Compensation for the role is commensurate with the candidate’s qualifications, skills, competencies, and experience and may fall outside of the range shown. ConcertoCare offers a competitive total rewards package, which includes full healthcare coverage, a 401K with match, and a broad range of other health, wellness, and financial benefits. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. ConcertoCare is an Alcohol/Drug/Smoke-Free Workplace

Lead Data Analyst

$110,000 - $138,000/yr

Location: Northbrook, Illinois We inspire purpose-filled living that brings beauty and quality to the modern home. Together, we achieve. Associates across our business drive results, innovate, and inspire. Drawn together by our shared values and passion for our customers and our brands, we deliver home furnishings that are expertly designed, responsibly sourced, and bring timeless style and function to people’s homes. From the day we opened our first store in Chicago in 1962 to the digital innovations that engage millions of customers today, our iconic brand is over 60 years in the making—and our story is still unfolding. We’re here for it. We think you should be too. As a Lead Data Analyst, you'll be a key influencer in driving our data analysis strategy, leading complex projects, and mentoring a team of analysts. This is an exceptional opportunity to shape the future of data within the organization, working on high-impact initiatives for our Merchandising, Supply Chain, Marketing, IBP and Stores teams that directly contribute to business success through deep analytical rigor and actionable insights. If you're a visionary data leader with a passion for innovation, statistical modeling, and translating complexity into clear business value, we encourage you to apply. * This position is fully remote * This role is an Individual Contributor position A day in the life as a Lead Data Analyst... * Lead the analysis of complex, high-impact business problems across Merchandising, Supply Chain, Marketing, IBP and Stores using advanced statistical and analytical methodologies, providing critical insights and recommendations to decision-makers * Identify and interpret critical trends, patterns, anomalies, or inconsistencies in massive and complex datasets to drive key improvements and strategic initiatives * Design and implement A/B tests and experimental designs to measure the impact of strategic changes, ensuring rigorous methodology and valid conclusions * Design, develop, and maintain advanced analytical models and data structures (e.g., feature engineering, ETL logic, analytical tables) to support complex business requirements and reporting needs * Lead and mentor a team of data analysts, providing guidance, training on analytical techniques, and support to enhance their technical and storytelling skills * Collaborate with data engineering and product teams to define data requirements and ensure the integrity and accessibility of data sources used for analysis * Actively participate in and champion team ceremonies (Scrum/Kanban) contributing to the successful delivery of sprint goals and continuous process improvement in the analytics pipeline * Establishes and champions high standards for knowledge management and documentation of analytical methodologies, data sources, and model definitions, significantly enhancing team efficiency and reproducibility * Stay up-to-date with the latest statistical methodologies, machine learning trends, and data technologies, proactively identifying opportunities for improvement and innovation in the analytics space What you'll bring to the table... * Expert-level proficiency in SQL for advanced data manipulation, data preparation, querying complex relational and non-relational databases, and optimizing query performance * Advanced application of Data Visualization tools (e.g., Tableau, Power BI, Looker) for designing and implementing complex, interactive dashboards and analytical storytelling * Extensive knowledge of Advanced Statistical Analysis and Modeling, including regression analysis, time-series forecasting, hypothesis testing, and causal inference * Ability to design and develop sophisticated and interactive data visualizations and executive-level dashboards that translate analytical findings into clear, actionable business narratives * Proven expertise in Data Mining and cleaning techniques for extracting strategic insights from large and complex datasets using languages like Python or R * Advanced skills in Predictive Modeling for developing highly accurate forecasting models and scenario planning tools (e.g., using libraries like scikit-learn or pandas) * Exceptional collaboration, influence, and communication skills, with the ability to effectively communicate complex analytical concepts and influence decision-making at all levels of the organization We'd love to hear from you if you have... * 8+ years of professional experience in a hands-on Data Analyst or Analytical role * Bachelor's degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics or a related quantitative field (or equivalent practical experience) * Proven experience leading the delivery of complex analytical projects and models in an agile environment * Strong proficiency in one or more statistical programming languages (e.g., Python or R) for advanced data manipulation and modeling Starting Rate: $110,000.00 - $138,000.00 Pay ranges will be adjusted upward as needed to comply with applicable state and local law. In addition to your salary, based on your role, associates may be eligible for other compensation including bonuses, sales incentives, and long term incentives. Job ID R24010 Date posted 06/02/2026 Position Type Full Time Our commitment to our associates is of the utmost importance. One of the reasons the company attracts such a diverse group of associates is that we offer a full menu of benefits that are relevant to their lives, both on and off the job. We are proud to offer a comprehensive compensation and benefits package to support eligible part time and full time associates and their families, including: * Medical/Dental/Vision * Life insurance and Disability * Retirement and 401(k) match * Paid time off, wellness time and volunteer time * Merchandise discount and EAP resources * Tuition Reimbursement Many of these benefits begin on day one, and extend to eligible dependents. To learn more about available benefits please click https://jobs.crateandbarrel.com/benefits Euromarket Designs, Inc., which does business as Crate \& Barrel, Crate \& Kids, CB2 and Hudson Grace, will be referred to as “the Company”. The Company is deeply committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please contact the location you are applying to here and ask to speak with a manager regarding the nature of your request. The Company is an equal opportunity employer; applicants are considered for all positions without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identity, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. The Company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. State / City Compliance: The Company will consider for employment qualified applicants with criminal history, including arrest and conviction records, in accordance with the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Job Applicant Privacy: For details about how the Company collects and uses your personal information, please see our Job Applicant Privacy \& Communications Notice. Questions? Please reach out to careers@crateandbarrel.com

Lead Data Analyst

From $10/yr

Job Description The Lead Data Analyst will lead the design, analysis, testing, and implementation of enterprise Data Warehouse solutions supporting Policy, Claims, Billing, Quotes, Agency, and related insurance data domains. This role is responsible for managing projects throughout the full lifecycle, from requirements gathering through post-implementation support, while partnering closely with business and IT stakeholders. The position requires deep expertise in data warehousing, data modeling, SQL development, and Property \& Casualty (P\&C) insurance operations. Key Responsibilities * Lead Data Warehouse projects through the full project lifecycle, including analysis, development, testing, implementation, and support. * Analyze and clarify business requirements and translate them into technical specifications and data transformation logic. * Develop and maintain data models, mappings, and ETL processes using SDLC methodologies and best practices. * Perform unit, integration, user acceptance, and performance testing to ensure data quality and system reliability. * Partner with development teams to guide implementation and provide technical leadership. * Monitor production data environments, troubleshoot issues, and support downstream applications and users. * Optimize database and query performance through tuning and analysis. * Build strong relationships with business and IT stakeholders while mentoring junior team members. * Independently manage priorities, proactively identify issues, and drive projects to completion. * Quickly learn and analyze new data sources, systems, and business processes. Qualifications * Bachelor’s degree in Computer Science or equivalent experience. * 10+ years of experience in Data Analysis, Data Warehousing, or SQL development environments. * Strong experience with relational databases, data modeling, data mapping, and transformation. * Expertise with SQL databases including DB2, SQL Server, Oracle, and Snowflake preferred. * Experience working with AWS cloud-based database applications and Snowflake data warehouse environments. * Knowledge of Informatica or similar ETL tools. * Strong understanding of SDLC methodologies, project planning, and estimation. * Deep knowledge of the Property \& Casualty Insurance industry, including policy and claims lifecycles. * Excellent analytical, troubleshooting, communication, and project management skills. * Proven ability to work independently and manage large, complex projects. Required Skills: Deep knowledge of the Property \& Casualty Insurance industry, including policy and claims lifecycles

Lead Data Analyst - Pricing

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description More about our mission and what we offer . We are looking for a Lead Data Analyst to join the Wise Platform Pricing Analytics team at Wise. Wise Platform brings the reach and low cost of Wise to business partners - read more about Wise Platform here. The Wise Platform Pricing Analytics team manages the pricing model and P\&L analysis for Wise Platform. The team supports Wise Platform by calculating prices for partners, monitoring and reviewing the financial sustainability of the program, and finding opportunities to continue improving the growth and profitability of the company. This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here. What You’ll Be Doing * Proactively identify and propose the most relevant and strategic pricing and cost problems to solve for Wise Platform, ensuring solutions directly link to achieving profitability and growth outcomes * Lead deep-dive investigations into complex cost data, driving improvements in upstream data quality and revenue and cost allocation methodologies within the Product Economics domain * Explain the underlying product economics that contribute to prices, and liaise with subject matter experts to gather detailed knowledge on economic drivers * Monitor and review the financial performance of Wise Platform, surfacing insightful and actionable insights on the main drivers of profitability * Contribute to and influence improvements to the pricing model by applying detailed knowledge of costs and cost drivers to appropriate pricing strategies What You’ll Bring * 5+ years of experience in data analytics * Advanced stakeholder management skills; you know how to leverage multiple different teams to deliver high-impact change including analytics, engineering, and business specialists * Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights * Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics Nice To Have But Not Essential * Experience working on Pricing, especially B2B Pricing * Experience working in Fintech or Financial Services * Experience using Lightdash or Superset * Knowledge of advanced analytics techniques, including the use of Python and statistical modelling Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Lead Data Analyst - FinCrime Operations

From $75,000/yr

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description More about our mission and what we offer . We’re looking for an Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As an Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission! This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here. THE ROLE We’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, as well as workforce management, quality, training, and knowledge management, to bring your insights into real change for our customers and help drive our mission! Here’s How You’ll Be Contributing * Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands. * Data Pipeline Ownership. Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy. * Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. * Strategic Support and Analysis. Provide critical insights to assess the operational health of FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences. * Performance Tracking and Initiative Optimisation. Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes. * KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations. * Stakeholder Collaboration and Process Standardisation. Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment. Qualifications WHAT YOU’LL BRING * Quantitative Foundation. Ideally, you have a background in statistics, maths, physics, engineering, economics, or another scientific field. You apply first-principles thinking to break down complex operational problems. * A Statistical Mindset. You have a natural grasp of data logic. You don't just look at averages; you understand distributions, variance, and significance. You enjoy applying that rigor to messy, real-world operational data to separate signal from noise. * You have 4+ years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset, identifying innovative solutions that drive operational improvements. * You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation. * You have experience working with complex data models in SQL (our warehouse is Snowflake) and analysing it using advanced SQL/Python/R * Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights * You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data You have a bias to action - you identify what needs to be done and make it happen. Some Extra Skills That Are Great (but Not Essential) * Prior experience in Operation domains * You have experience working with a WFM or Quality team. * You have experience working with WFM Systems * You have experience with forecasting techniques such as ARIMA, Holt-Winters, and other time series analysis methods Additional Information What Do We Offer * Salary: £75,000 - £115,000 * Company Restricted Stock Units * Numerous great benefits in our London office Key Benefits * Hybrid working + MobileWiser (Work from anywhere in the world up to 90 days a year) * Paid annual holiday, sick days, parental leave and other leave opportunities * 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Sr Lead Data Analyst (Marketing Advanced Analytics)

At Vanguard Personal Investor Marketing, we’re on a mission to help individuals achieve financial well-being by connecting them with our world-class investment products and services. Our team plays a critical role in shaping how we engage with prospects and clients—bringing the power of Vanguard’s trusted brand to life through data-driven, personalized marketing. This role will be pivotal in enhancing the performance of our marketing campaigns through advanced analytics, predictive modeling, and data science techniques. The ideal candidate will have a strong foundation in marketing analytics, statistical modeling, and campaign optimization, with the ability to translate complex data into actionable insights that drive ROI. This role suits someone who thrives at the intersection of marketing strategy, analytics, and data science. They will excel at addressing complex business questions using compelling analytical strategies and communicating these solutions to both technical and non-technical audiences to influence swift implementation. In this role you will: * Translate marketing and business needs into analytical requirements E.g., data, models required to build strategic analytical solution * Establish the analytical framework to successfully deliver business OKRs * Design a robust and streamlined data-lead strategy to drive marketing optimization at scale * Run BAU, proposed and other “what if” scenarios assessments to validate approach and evaluate impact * Design an actionable marketing operations and experimentation roadmap * Build consensus and influence senior stakeholders to gain confidence in analytics proposals * Continuously evangelize analytical and data-driven problem solving, strategic mindset \& experimentation best practices across the organization What it takes: * Minimum of eight years of related work experience with five years in advanced marketing strategy and optimization analytics * Bachelors degree in Marketing, Statistics, Data Science, Economics, or related field (Masters preferred) * Proficiency in Excel, SQL, Tableau, Python for data manipulation, optimization algorithms and modeling using big data cloud platforms * Understanding of A/B testing, regression, hypothesis testing, and statistical significance * Familiarity with Marketing and Funnel KPIs like ROI, LTV, Attribution Metrics, Engagement Metrics * Ability to translate complex data into actionable insights for non-technical stakeholders * Critical thinking \& problem-solving skills to identify optimization opportunities and designing experiments * Working cross-functionally and collaboratively with partner and support organizations E.g., Marketing, Sales, MarTech, Data Science, Data Engineering and other Analytics teams Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Lead Revenue and Data Analyst

From $50/yr

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments. Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead. Wood Mackenzie Intelligence Connected WoodMac.com Wood Mackenzie Brand Video Wood Mackenzie Values * Inclusive – we succeed together * Trusting – we choose to trust each other * Customer committed – we put customers at the heart of our decisions * Future Focused – we accelerate change * Curious – we turn knowledge into action Key Responsibilities Revenue \& Customer Analytics * Support ARR modelling, forecasting, and variance analysis across the business * Develop and maintain customer account stratification frameworks (by size, industry, engagement, health score, etc.) * Monitor customer activities and engagement patterns to identify trends and opportunities * Analyze drivers of New Logo ARR, Expansion, Contraction, and Churn * Build predictive models for revenue forecasting and customer behavior * Build and maintain KPI metrics including: + Annual Recurring Revenue (ARR) + Net Revenue Retention (NRR) + Gross Revenue Retention (GRR) + Customer Acquisition Cost (CAC) and Lifetime Value (LTV) + Payback periods and unit economics Reporting \& Data Infrastructure * Design and implement dashboards and reporting systems that serve as the single source of truth for business performance * Build and maintain executive dashboards using Power BI and other BI tools * Automate recurring reports and create self-service analytics tools for stakeholders * Ensure data accuracy and consistency across all revenue systems (CRM, billing, product analytics, etc.) * Create board-ready reporting packages for executive leadership * Establish and document data governance standards and best practices * Perform data validation, reconciliation, and anomaly detection across systems Business Insights \& Strategy * Translate complex data into actionable insights and strategic recommendations * Highlight growth opportunities, risk areas, and efficiency improvements * Conduct cohort analyses, retention studies, and revenue waterfall analyses * Partner with Sales, Customer Success, Product, and Finance teams to drive data-informed decisions Systems \& Process Management * Supporting optimization of end-to-end SaaS reporting * Partner with RevOps and Sales leadership to ensure metric alignment and data accuracy * Develop and maintain documentation for data definitions, metrics, and processes * Continuously improve data collection, processing, and reporting workflows Required Qualifications * Experience in revenue operations, business intelligence, or analytics roles, preferably in SaaS/subscription businesses * Technical Skills: + Advanced proficiency in Excel/Google Sheets and SQL + Experience with at least one major BI tool + Familiarity with CRM and billing platforms + Understanding of data warehousing concepts and ETL processes * SaaS Metrics Expertise: Deep understanding of SaaS business models and key metrics (ARR, CAC, LTV, churn, expansion, net dollar retention, etc.) * Analytical Mindset: Strong quantitative skills with ability to derive insights from complex datasets * Communication: Excellent ability to present data stories to both technical and non-technical audiences * Partnering: Experience partnering with cross-functional teams including Sales, Customer Success, Product, and Revenue Operations Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.

Lead Data Analyst

From $200/yr

Lead Data Analyst We are seeking an analytically rigorous and business-oriented Lead Data Analyst to help transform how our newsroom, product, marketing, and advertising teams use data to grow digital subscriptions and audience engagement. This role combines SQL, statistical analysis, audience segmentation, and AI-enabled analytics to uncover retention and conversion opportunities, develop actionable audience segments for testing and personalization, and enable stakeholders to explore trusted data through conversational and self-service analytics tools built on BigQuery, dbt, and modern AI workflows. What You’ll Do * Analyze user engagement and retention patterns using behavioral data in BigQuery, applying lightweight statistical models (e.g., logistic regression, survival analysis) to identify drivers of conversion, churn risk, and lifetime value Develop and operationalize audience segments using clustering and propensity modeling (e.g., k-means, logistic regression) within dbt/SQL workflows, enabling targeted activation and personalization across marketing and product channels * Help business users effectively explore data using AI tools - translate stakeholder questions into structured data models and AI-ready datasets, ensuring alignment with standardized metrics and business logic Build and maintain AI-enabled self-service analytics workflows (e.g., NLQ in Hex using BigQuery/dbt models) that allow stakeholders to answer business questions without using SQL * Develop and document curated datasets and semantic definitions that improve the accuracy and usability of AI-generated insights * Iterate on data models and documentation based on stakeholder usage patterns and feedback from AI-assisted analysis * Consult with Product Managers on digital product performance measurement * Partner with engineering to ensure AI tools are properly connected to governed data sources (e.g., dbt models in BigQuery), improving trust and adoption * Present new capabilities and analyses to senior leaders and less technical audiences inside The Inquirer, and serve as a trusted partner for stakeholder outreach * Contribute to an inclusive and positive work environment Who We are Looking For * 5+ years of experience in product analytics, business intelligence, or a similar analytical role. * Proficiency in SQL for querying and analyzing large datasets. * Experience with Python or R for statistical analysis and data manipulation. * Strong background in A/B testing methodologies and experimentation. * Experience with event tracking and analytics tools (e.g., Google Analytics, Mixpanel, Amplitude, Adobe Analytics). * Excellent communication and storytelling skills to consult with stakeholders and translate complex data into actionable insights. * Ability to work cross-functionally and influence product roadmaps through data. About Us. The Philadelphia Inquirer is the media brand of record in Philadelphia and the region, and the largest news media organization in the state of Pennsylvania. A daily habit for almost 200 years, The Inquirer delivers Pulitzer Prize-winning news, sports, food, and lifestyle journalism multi-platform: Inquirer.com, Inquirer newspaper, e-editions, apps, newsletters, social, video, podcasts, and live events, generating 15M monthly impressions. Locally owned and headquartered in Philadelphia, no media brand is more deeply connected to the city or better understands what drives it. Our influence also extends across key drive markets, including Pennsylvania, New Jersey, Delaware, and New York, as well as to Philadelphia expats who live across the country and root for the Eagles, Phillies, Sixers, Flyers, and the Union. The Inquirer is an equal opportunity employer for all regardless of race, ethnicity, religion, national origin, gender identity, sexual orientation, age, disability, veteran status, and any other category protected by federal, state and/or local law. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

Lead Revenue and Data Analyst

From $50/yr

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments. Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead. Wood Mackenzie Intelligence Connected WoodMac.com Wood Mackenzie Brand Video Wood Mackenzie Values * Inclusive – we succeed together * Trusting – we choose to trust each other * Customer committed – we put customers at the heart of our decisions * Future Focused – we accelerate change * Curious – we turn knowledge into action Key Responsibilities Revenue \& Customer Analytics * Support ARR modelling, forecasting, and variance analysis across the business * Develop and maintain customer account stratification frameworks (by size, industry, engagement, health score, etc.) * Monitor customer activities and engagement patterns to identify trends and opportunities * Analyze drivers of New Logo ARR, Expansion, Contraction, and Churn * Build predictive models for revenue forecasting and customer behavior * Build and maintain KPI metrics including: + Annual Recurring Revenue (ARR) + Net Revenue Retention (NRR) + Gross Revenue Retention (GRR) + Customer Acquisition Cost (CAC) and Lifetime Value (LTV) + Payback periods and unit economics Reporting \& Data Infrastructure * Design and implement dashboards and reporting systems that serve as the single source of truth for business performance * Build and maintain executive dashboards using Power BI and other BI tools * Automate recurring reports and create self-service analytics tools for stakeholders * Ensure data accuracy and consistency across all revenue systems (CRM, billing, product analytics, etc.) * Create board-ready reporting packages for executive leadership * Establish and document data governance standards and best practices * Perform data validation, reconciliation, and anomaly detection across systems Business Insights \& Strategy * Translate complex data into actionable insights and strategic recommendations * Highlight growth opportunities, risk areas, and efficiency improvements * Conduct cohort analyses, retention studies, and revenue waterfall analyses * Partner with Sales, Customer Success, Product, and Finance teams to drive data-informed decisions Systems \& Process Management * Supporting optimization of end-to-end SaaS reporting * Partner with RevOps and Sales leadership to ensure metric alignment and data accuracy * Develop and maintain documentation for data definitions, metrics, and processes * Continuously improve data collection, processing, and reporting workflows Required Qualifications * Experience in revenue operations, business intelligence, or analytics roles, preferably in SaaS/subscription businesses * Technical Skills: + Advanced proficiency in Excel/Google Sheets and SQL + Experience with at least one major BI tool + Familiarity with CRM and billing platforms + Understanding of data warehousing concepts and ETL processes * SaaS Metrics Expertise: Deep understanding of SaaS business models and key metrics (ARR, CAC, LTV, churn, expansion, net dollar retention, etc.) * Analytical Mindset: Strong quantitative skills with ability to derive insights from complex datasets * Communication: Excellent ability to present data stories to both technical and non-technical audiences * Partnering: Experience partnering with cross-functional teams including Sales, Customer Success, Product, and Revenue Operations Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.

Health Data Analyst-Team Leader

Company Description Kaelo provides essential healthcare solutions ensuring the physical and psychosocial wellbeing of all South Africans towards lasting social change. Kaelo meets the Healthcare needs of Corporate and Retail clients across South Africa – products offerings include Medical Insurance, Medical Aid, Gap Insurance, Kaelo Money and employee assistance programmes. Job Description Seeking a talented and results-oriented analyst to lead our Health Data analytics team. You will be responsible for developing an in-depth understanding of the Health business. You will work with the business to ensure business requirements are interpreted and understood correctly. You will also extract data, develop reports, and create presentations as required. You will be expected to reconcile and validate data and reports to ensure the information is accurate. An essential part of your role will be to automate reporting and ensure the health data division is working effectively and efficiently. It is very important that the data analyst understand the information in the report they are creating and distributing. They will be expected to critically analyse the reports and the results. Job requirements: * Partner with stakeholders to understand data requirements and translate them into clear and concise analytical questions. * Develop accurate reports and dashboards efficiently, based on needs of stakeholders. * Automate reports and data extract extracts * Access, clean, and transform large datasets from various sources using SQL and data manipulation tools (e.g., Python libraries, Jupyter notebook). * Perform exploratory data analysis to identify trends, patterns, and anomalies. * Develop and implement statistical models and reporting dashboards to visualize data insights. * Communicate complex data findings effectively through reports, presentations, and visualizations tailored to diverse audiences. * Generate data-driven recommendations to support informed decision-making across various business functions. * Stay up-to-date on emerging data analysis techniques and technologies, continuously seeking opportunities to improve data-driven processes. * Maintain a high level of data quality and ensure data integrity throughout the analysis process. * Collaborate with IT and data engineering teams to access and integrate data as needed. * Document data analysis processes and methodologies for clear communication and knowledge transfer. Qualifications Qualification: * Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field. * SQL certificates/qualifications * Power Bi certificates/qualifications * Intermediate or advanced Excel certificates/ qualifications Knowledge/Experience: * Minimum of 6 years of experience as a Data Analyst or similar role. + Building insurance reports + Dashboarding + Datawarehouse structuring + Managing multiple parties * Strong analytical and problem-solving skills with a proficiency in statistical methods and hypothesis testing. * Attention to detail * Experience with SQL queries and data manipulation tools (e.g., Jupyter notebooks, Python libraries like Pandas, NumPy). + Structuring specialised data requests + Maintaining current data scripts + Validating data sources to ensure correct data is being utilised * Building ad hoc reports on request of business including but not limited to: + Operational reports + Corporate Client and Employee Wellness report + Specialised client reports + Clinical reports (including clinical risk) + Executive and management reports * Experience with data visualization tools (e.g., Power BI) to create clear and compelling presentations. * Excellent communication and interpersonal skills, with the ability to effectively translate technical concepts to non-technical audiences. * A collaborative approach to working with cross-functional teams. * Strong attention to detail and a commitment to data accuracy and integrity. Additional Information Skills and Characteristics * Detailed oriented * Purpose driven * Accountability * Action orientated * Collaborative * Problem solving skills * Resilient and adaptive

Lead Data Analyst, Marketing

Lead Data Analyst, Marketing

Lead Data Analyst, User Analytics & Insights

What we’re building and why we’re building it. Every month, millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews fro