Sr Data Analyst Jobs

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

Sr. Analyst - BI, Reporting and Data Visualization

Accountabilities Engage with clients and stakeholders to understand business requirements, clarify reporting needs, and provide timely analytical support. Execute data quality control activities using SAS and Microsoft Access to ensure the accuracy, consistency, and reliability of business data. Analyze complex datasets and write advanced SQL queries to extract, transform, and validate relevant information. Validate, analyze, and interpret reports using Microsoft Excel and Power BI, ensuring data integrity and alignment with business expectations. Automate existing reports and recurring analytical processes to improve efficiency, reduce manual effort, and enhance reporting consistency. Develop and maintain executive reports, interactive dashboards, presentations, and management information to communicate key findings effectively. Translate analytical results into clear, actionable insights that support business performance monitoring and informed decision-making. Requirements A bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a master’s degree in Data Science or a related discipline. Demonstrated experience or strong technical capability in business intelligence, reporting, dashboard development, data analysis, and data visualization. Proficiency in SAS analytics and SAS-based reporting, including data quality checks and analytical validation. Strong SQL skills, with the ability to write and analyze complex queries and work with structured datasets. Experience validating and analyzing reports in Microsoft Excel and Power BI, with an understanding of dashboard reporting and data presentation principles. Ability to automate recurring reports and improve existing reporting workflows. Strong analytical thinking, attention to detail, problem-solving skills, and the ability to translate business requirements into effective reporting solutions. Excellent communication and stakeholder-management skills, with the ability to explain data findings clearly to technical and non-technical audiences. Advanced English proficiency (C1 level) to support effective client communication and collaboration. Relevant certifications in Power BI, data analytics, data management, SAS, Tableau, or related technologies are advantageous. Benefits Remote work: Work remotely from India in a full-time role. Career development: Access learning opportunities, mentorship, and practical experience to expand your technical and analytical capabilities. Meaningful impact: Contribute to business transformation by helping organizations improve reporting, data quality, and decision-making. Technology exposure: Apply business intelligence and analytics tools to real-world business challenges in a data-focused environment. Collaborative culture: Work with experienced professionals in a team environment that values curiosity, integrity, inclusion, and innovation. Professional growth: Build expertise in BI reporting, dashboard development, data visualization, and reporting automation. 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

Accountabilities Client and stakeholder collaboration: Engage with clients to understand business requirements, clarify analytical needs, and provide appropriate support throughout reporting and data analysis activities. Data quality management: Execute data quality control procedures using SAS or Microsoft Access to ensure data accuracy, consistency, and reliability. SQL development and analysis: Write, analyze, and optimize complex SQL queries to retrieve, manipulate, validate, and interpret data from relevant databases. Database management: Work with PostgreSQL and other database technologies to support data extraction, analysis, and reporting requirements. Reporting validation: Validate and analyze reports using Microsoft Excel, Power BI, and SAS-based reporting tools to ensure the accuracy and integrity of business information. Reporting automation: Identify opportunities to automate existing reports and recurring processes, reducing manual effort and improving efficiency. Executive reporting and visualization: Prepare management reports, dashboards, presentations, and other business intelligence outputs that communicate key findings and performance indicators. Analytical insights: Translate data findings into actionable recommendations that support business monitoring, operational improvements, and informed decision-making. Continuous improvement: Contribute to the enhancement of data analysis, reporting workflows, and quality control practices. Requirements Educational background: Bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a master’s degree in Data Science or a related field. SQL expertise: Strong proficiency in Structured Query Language (SQL), including the ability to write and analyze complex queries and work with relational databases. Database knowledge: Experience with PostgreSQL, SQL database management, and data extraction and manipulation techniques. SAS proficiency: Knowledge of SAS analytics, SAS Business Intelligence, SAS reporting, and data quality control processes. Data analysis and visualization: Ability to validate, interpret, and present data clearly using reporting and visualization tools, including Excel and Power BI. Reporting automation: Experience improving or automating recurring reports and analytical workflows to enhance accuracy and operational efficiency. Analytical and problem-solving skills: Strong attention to detail, logical thinking, and the ability to investigate data inconsistencies and develop practical solutions. Communication and collaboration: Ability to work effectively with clients and cross-functional teams, understand business needs, and communicate findings clearly. English proficiency: Advanced English skills at C1 level, with strong written and verbal communication capabilities. Relevant certifications: Certifications in data management, Apache Spark, Azure Data Engineering, IBM DataStage, Oracle Database, or related technologies are advantageous. Benefits Remote work: Full-time remote position based in India. Career development: Access to professional learning programs, mentorship, and development opportunities to expand technical and analytical expertise. Hands-on experience: Work on real-world data challenges and develop practical skills in analytics, reporting, database management, and automation. Technology-driven environment: Exposure to modern data and digital transformation initiatives that support business improvement. Collaborative culture: Work alongside experienced professionals in an environment that values integrity, curiosity, inclusion, and continuous learning. Professional growth: Opportunities to strengthen expertise in SQL, SAS, data visualization, and data engineering practices. Meaningful business impact: Help organizations improve data quality, reporting reliability, and decision-making through actionable insights. 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

Sustainability Data, Reporting & Automation Sr Data Analyst

From $39/yr

<div class="content-intro"><p><strong>Secure Every Identity, from AI to Human<br><br></strong>Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.<br><br>This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.</p></div><p>Okta is looking for an experienced, self-motivated team player who will be a vital component for Okta’s sustainability (1) analytics and reporting, and (2) automation. This person will drive accurate and timely reporting and insights to meet the expectations of external stakeholders (customers, investors, and regulators) and internal stakeholders (executives, program leads, etc). This person will identify opportunities to automate data collection, analytics, reporting, and dashboards across various programs to streamline and simplify this work, and to enable our teams to scale to meet the moment and the growing stakeholder requirements. The role will drive impact as reporting is a customer business requirement, and data insights are foundational to building sustainability programs that drive business value and reduce environmental impacts.&nbsp;</p> <p>The ideal candidate for this role has 4+ years of data analytics, visualization, reporting, and automation experience, as well as sustainability, GHG accounting and carbon analytics experience. We are looking for highly motivated team players who have strong analytical skills, excellent attention to detail, and the ability to work cross functionally, as well as independently. This is a great opportunity for candidates seeking experience within a dynamic Finance organization deeply embedded in the teams we support.</p> <p><strong>Job Duties and Responsibilities</strong></p> <ul> <li><strong>Manage reporting</strong>, including collect and clean data; maintain accuracy of Okta’s sustainability metrics; analyze, summarize and visualize for <strong>external reporting/disclosures</strong> -&nbsp; <strong>annual </strong><a href="https://www.okta.com/company/responsibility/emissions-inventory-results/"><strong>GHG Inventory</strong></a> and public language, sustainability section of annual <a href="https://www.okta.com/content/dam/okta-www/en_us/company/responsibility/sustainability-responsible-technology/FY2026-sustainability-responsible-technology-fact-sheet.pdf">Fact Sheet</a>, CDP, and for <strong>internal dashboards</strong> and reporting, and supporting regulatory compliance.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;.&nbsp;</li> <li><strong>Prepare audit ready </strong>data sets and documentation; maintain traceable audit controls and trails; implement any feedback to strengthen internal controls and improve future assurance readiness; and manage third party assurance processes.</li> <li><strong>Carbon analytics</strong>: Own the design and maintenance of models to track and analyze, forecast, and reduce greenhouse gas emissions and environmental impact. Support quantifying the value of this work in terms of cost savings from reducing energy consumption, revenue supported by meeting customer expectations, etc.&nbsp;</li> <li>Support key teams with related <strong>analytics and reporting,</strong> such as</li> <ul> <li>IR team with <strong>investor ESG questionnaires/surveys </strong>and data analysis and visualization for investor disclosures and presentations.</li> <li>Finance SEC Accounting, Legal, &amp; Sustainability teams with sustainability data for <strong>SEC and other public disclosures</strong>.&nbsp;</li> <li>Finance to integrate and maintain sustainability metrics in <strong>T&amp;E dashboard</strong>, and to conduct analysis and provide recommendations and visualizations for each team/org.</li> <li>Workplace team with <strong>building &amp; utility</strong> sustainability data and analytics&nbsp;</li> <li>Finance, Technology, Data &amp; Insights (TDI), and Sustainability teams to understand <strong>AI usage</strong> and environmental impacts, and identify opportunities to use AI more efficiently. Also partner with Engineering and Product teams to turn environmental data insights into actionable impact.&nbsp;</li> </ul> <li><strong>Design, build, automate and maintain user-friendly dashboards, analytical tools, and reports to track metrics and performance indicators, </strong>and prepare slides and briefs, such as</li> <ul> <li>Quarterly sustainability metrics/dashboards for Okta’s Executive Committee (CFO, CLO, COO) and Board of Directors.&nbsp;</li> <li>Quarterly sustainability metrics in Okta for Good (O4G) dashboard and QBR to streamline and simplify quarterly internal reporting for the team.</li> <li>Quarterly vendor engagement on sustainability metrics to support Okta Climate Lead and Procurement to make progress on our science-based target for vendor engagement&nbsp;</li> </ul> <li><strong>Identify and implement additional opportunities to automate, streamline and simplif</strong>y. Build and “manage” “digital worker/agent(s)”.</li> <li>Identify and implement opportunities to <strong>integrate sustainability data </strong>into other reports, dashboards, and processes <strong>to inform decision-making</strong>.&nbsp;</li> <li><strong>Assist with additional data requests</strong>, <strong>reporting, and automation </strong>- collection, cleaning, analysis, and visualization to incorporate into short and long-term planning, program design and evaluation, etc. As needed, prepare decks, reports, and briefs.&nbsp;</li> </ul> <ul> <li>Understand and apply the Sustainability Accounting Standards Board (SASB) and <a href="https://www.ifrs.org/groups/international-sustainability-standards-board/">International Sustainability Standards Board (ISSB) </a>reporting frameworks, as well as Task Force on Climate-Related Financial Disclosures (TCFD), CDP (Carbon Disclosure Project), etc.</li> <li>Stay abreast of sustainability reporting regulations and trends, including the ESG ratings and rankings ecosystem, reporting frameworks, sustainability reporting standards and disclosure legislation, and provide recommendations for how these developments should inform Okta’s non-financial reporting practices.</li> <li>Cross-collaborate effectively with partner organizations</li> <li>Leverage and improve current systems to increase productivity and accuracy&nbsp;</li> <li>Assist with and manage frequent ad hoc projects to support management and business decisions</li> </ul> <p><br><strong>What you can bring:</strong></p> <ul> <li>Sustainability and/or GHG accounting experience and/or regulatory reporting and third party assurance (required)</li> <li>Masters degree in sustainability and/or GHG accounting (preferred)</li> <li>4+ years experience data analytics, visualization, reporting, and automation&nbsp;</li> <li>AI literacy (required)</li> <li>Must demonstrate analytical prowess, strategic thinking and a command of the details</li> <li>Excellent modeling and analysis skills</li> <li>Experience with Tableau and Salesforce</li> <li>Advanced Excel and PowerPoint skills are required</li> <li>Experience with other software programs like Watershed (GHG inventory accounting software), Coupa, Netsuite, Workday (preferred)</li> <li>Ability to manage multiple tasks in a deadline-driven environment while maintaining a high level of precision</li> <li>Exceptional cross functional project management skills; ability to bring people together around a common goal and lead by influence. Highly skilled in building smart and efficient cross-functional processes</li> <li>Excellent verbal and written communication skills, experience presenting analyses to management</li> <li>Ability to work as a team player in a cooperative environment, as well as effective working independently with minimal supervision</li> <li>Adept at synthesizing complex inputs from multiple stakeholders</li> <li>Working knowledge of broadly recognized and emerging ESG reporting frameworks and standards, such as The GHG Protocol, SBTi, CDP, and TCFD (preferred)</li> <li>A desire to build</li> <li>Positive, can do attitude&nbsp;&nbsp;</li> <li>A proactive and curious mindset with a strong desire to learn and experiment with new technologies, especially in the realm of AI.</li> </ul> <p>&nbsp;</p> <p>#LI-Hybrid</p> <p>#LI-JP3</p> <p><br><br><br></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Below

Sr. Technical Data Analyst

The Technical Data Analyst is responsible for maintaining investment data for clients. This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs. It also requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability. Responsibilities: * Utilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights. * Build efficient and robust data systems and pipelines, ensuring seamless data flow. * Dive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes. * Showcase your findings using cutting-edge data visualization techniques, making data come to life. * Harness the power of multiple data sources, combining raw information into comprehensive and actionable insights. * Continuously explore innovative methods to improve data quality and reliability, contributing to the highest standards. * Develop and implement analytical tools and programs that empower teams to make data-driven decisions. * Collaborate closely with system architects and product development teams, fostering an environment of innovation and excellence. * Engage directly with clients and project management teams, gaining a deep understanding of customer and company needs. * Play an integral role in creating, implementing, and maintaining investment data for Clearwater's esteemed clients. Required Skills: * Deep understanding of investment data. * Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure). * Understanding of database design and data warehouse principles. * Knowledge of one or more programming languages (e.g. Java, Python, VBA). * Proficiency in data manipulation and data cleansing techniques. * Knowledge of data governance and best practices in data management. * Continuous improvement mindset for self and team. * Ability to work collaboratively in a cross-functional team environment. * Ability to work with large datasets and perform data mining tasks. * Strong computer skills, including proficiency in Microsoft Office. * Excellent attention to detail and strong documentation skills. * Outstanding verbal and written communication skills. * Strong organizational and interpersonal skills. * Exceptional problem-solving abilities. Education and Experience: * Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline. * 7+ years of relevant experience in data analytics, reporting, and visualization. * Hands-on experience with SQL and NoSQL databases. * Experience with data integration and exchange, transfer, load processes. * Experience with data visualization tools such as Tableau, Power BI, or D3.js.

Data Analyst Sr - E3

$85,300 - $158,300/yr

Standard Job Description Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule In this role, you will be an F-35 Advanced Capability Development (ACD) Program Office Data Analyst responsible for building and sustaining the Program Office performance dashboards that transform raw data into actionable insights for the Program Management Team. What You Will Be Doing As a Program Office Data Analyst you will be responsible for designing, developing, and maintaining program‑wide performance dashboards while empowering the Development PMO to make data‑driven decisions. Your responsibilities will include: * Design, develop, and maintain the Program Office performance dashboard, ensuring accuracy, relevance, and ease of use for stakeholders. * Aggregate and analyze data from project‑management tools, financial systems, and operational databases to generate actionable insights. * Collaborate with cross‑functional teams to define key metrics, establish data‑collection processes, and deliver clear reporting solutions. * Identify trends, patterns, and improvement opportunities, presenting findings in concise visualizations and executive briefings. * Develop methods to automate data aggregation across multiple disparate sources * Develop methods to automate generation of standard work products * Provide training and ongoing support to Development PMO members on dashboard functionality and data/tool best practices. Basic Qualifications * Bachelor's degree or higher * Demonstrated expertise in data analytics, dashboard development, and data visualization tools (e.g., Tableau, Power BI, QlikView) with a strong portfolio showcasing past projects * Active Secret Clearance Desired Skills * Bachelor's degree in Computer Science, Data Analytics, Business Administration, Engineering, or a related field; advanced degree preferred. * Proficiency in SQL, Python, or other programming languages for data manipulation and analysis. * Program or Project Management Experience * Earned Value Experience or experience with program performance metrics * Excellent communication skills with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders. * Strong attention to detail and problem-solving abilities, with a proactive and results-oriented mindset. * Ability to thrive in a fast-paced, collaborative environment, managing multiple priorities and stakeholders effectively. * Interest in learning about program management processes and a willingness to contribute to cross-functional initiatives beyond traditional data analytics responsibilities. Pay Information Full-Time Salary Range: $85300.00 - $158300.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. * Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. * For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Sr Data Analyst

From $101,700/yr

Position Summary The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, and promote the advancement of analytics across our organization. You will independently partner with executive stakeholders on challenging data problems, support BI infrastructure, develop scalable data assets, and conduct exploratory analyses that create new value. Do you enjoy building systems you can take pride in, discovering insights that create measurable value, and working in a role that is both business-facing and technical? If you want to grow your data career with mentorship, resources, and meaningful ownership, this could be a great role for you. The primary tools used in this role are Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities. At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Salary range: $101,700-113,000 plus 10% bonus Benefits Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it. Benefits include: -PTO, holiday pay and holiday of choice -401(k) match -Life insurance -Short-term disability -Health, dental and vision insurance -Maternity/paternity leave -Health savings account (HSA) -Flex spending accounts (FSA) – health and dependent Position Responsibilities may include, but not limited to * Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives * Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools * Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis * Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses * Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations * Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation * Define and monitor KPIs tying operational reporting directly to business objectives * Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices * Stay current with emerging analytics methodologies, technologies, and capabilities Required Skills and Experience * 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders * 2+ years writing data directly to a data warehouse * Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes * Statistical and financial analytics expertise, including analysis design, interpretation of results, and business case development * Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables * Knowledge of AI-assisted analytics development, and AI-assisted analytics tools * Versioning and Reproducibility: Git‑based workflows; disciplined documentation, and peer review * Comfort in at least one BI platform like Power BI, Hex, Tableau, etc. * Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models * Executive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making * Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication * Product mindset: understand and define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions Preferred Skills and Experience * Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred) * Familiarity with data governance tools and compliance standards * Product management training or analytics product delivery experience Physical Requirements * Repetitive motions that include the wrists, hands and/or fingers * Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods * Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

Sr Data Analyst, Japan market

From $50/yr

Your role at Dynatrace As a Sr. Data Analytics Consultant , you’ll work with some of the largest sites on the web across major industries (retail, auto, finance, travel, etc.) and help to answer questions about site performance and user engagement, which drives improved customer experience for their customers and improves the client’s overall business. This position is based in our Sydney office, and will support our Japan business hence fluency in Japanese is required. Dynatrace’s tools generate mountains of data, a lot of which clients don’t know how to make use of…that’s where you come in. You will turn that mountain of data into invaluable insight. As someone who lives and breathes data, analysis and problem solving, you will help your clients understand the right performance data, in the right context. You’ll turn that data into business altering insight which enables your client to take the right action to improve overall site performance and user experience that maximizes business outcomes. Responsibilities You will help clients set a strategy for how they can optimize both their current performance and build performance into their culture. Responsibilities include: * Account management for 8+ clients, including managing the relationship and customer expectations, providing value and helping to grow your accounts; running all customer touchpoint meetings * Working as an extension of your client's team and the Dynatrace product through ad-hoc analysis, testing initiatives, configuring Dynatrace offerings to get to answers faster, and training and enablement * Creating detailed analysis for your clients by finding answers from the Digital Experience data through reporting, dashboarding, or technology expertise * Representing your client within the rest of Dynatrace for Digital Experience Monitoring (DEM) issues * Additional responsibilities include working with our team to improve process, identify training gaps and share ideas What Will Help You Succeed Minimum Requirements: * Bachelor’s Degree in Marketing, Statistics, Mathematics, Economics or other quantitative disciplines is required * Ideally 3-5+yrs of experience with data analysis, including looking at and distilling complex sets of data and presenting findings in an engaging way * Must be able to communicate effectively in English and Japanese, both verbally and in writing Preferred Requirements * Experience in data driven analysis - excellent at working with, understanding, analyzing data * Strong understanding of web technologies including HTML, JS, CSS, networking, Content Delivery Networks, Cloud; basic understanding of Chrome Dev and Webpage test * Proficient with analysis tools including Google Analytics, Adobe, Advanced Excel, Tableau, SPSS, R, etc. * Stellar conceptualization and communication skills. Demonstrated ability to bring business and technical people together around clear product concepts, and to motivate them to deliver whole, working solutions * Operates with a customer first focus * Proven ability to work under pressure and to handle multiple conflicting priorities * Recognizes and understands both personal and team dynamics and relationships, is empathetic to stakeholder concerns and effectively influences and persuades * Thinks proactively and tries to develop solutions rather than wait for an answer * Has a desire to learn new technology and deliver successful customer and partner outcomes for stakeholders at all levels * Possesses excellent organizational, problem-solving, and analytical skills with a keen attention to detail Why you will love being a Dynatracer * Dynatrace is a leader in unified observability and security. * We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. * Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. * You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically. * Over 50% of the Fortune 100 companies are current customers of Dynatrace.

Data Analyst Sr - E3

From $853/yr

Standard Job Description Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule Proficient in AI prompting as it applies to this position and practice. Basic Qualifications * Bachelor’s degree in a technical field, relative experience considered in lieu of a degree. * Experience translating business objectives into technical requirements and functional specifications. * Strong project management skills, including experience with status reporting, risk tracking, and roadmap development. * Demonstrated experience leading change management and user adoption initiatives for new systems or processes. * Experience with modern analytical software (Tableau, Alteryx, or similar) * Experience with Microsoft Office Suite with emphasis on Excel and Power Point Desired Skills * 3+ years of experience in a rapid change technical environment * Excellent verbal and written communication skills; ability to facilitate collaboration across multiple departments and senior leadership. * Systems architecture and integration expertise (e.g., model based engineering, data fusion platforms) * Advanced project management tools (MS Project, JIRA, OpenPlan) and Agile/Scrum methodologies * Strong stakeholder engagement and negotiation abilities across technical and business teams * Ability to craft clear, persuasive communications (presentations, executive briefs, PR style messages) * Experience with technology road mapping and long term vision planning (1-3 year horizons) Pay Information Full-Time Salary Range: $85300.00 - $158300.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. * Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. * For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.