Top Analytics Jobs

Uses consumer and shopper analytics to support business strategy, uncover growth opportunities, and influence decisions. The role partners with Brand Management, Finance, Sales, R&D, and other functions, combining diverse data sources with human insights to deliver actionable recommendations. Responsibilities include communicating across teams, solving business problems, delivering real-time insights, and driving data-informed actions. Candidates need a relevant bachelor's degree, strong analytical and communication skills, creativity, initiative, and willingness to relocate.

Leads data governance, risk mitigation, analytical tool validation, and program development for Global Payment Networks. Responsibilities include planning validation projects, assessing analytical methodologies and tool risks, researching industry practices, preparing reports and presentations, and coaching junior staff. The role requires managing concurrent projects and applying data analytics, risk management, statistical, and project management expertise to develop enterprise-wide controls and processes.

Leads risk and fraud analytics covering loss attribution, fraud investigations, recovery strategy, loss forecasting, merchant collateral sizing, and return-rate monitoring. Produces monthly loss reporting and merchant scorecards, evaluates proposed risk rule impacts, forecasts portfolio losses, explains variance, and presents recommendations to risk, finance, commercial, and compliance stakeholders. Manages analysts and guides data-driven decisions across payments risk portfolios.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Supports government-led analysis of integrated combat and weapons systems data. Responsibilities include analyzing training and test data, developing MATLAB or Python scripts for data extraction and transformation, preparing technical reports and presentations, communicating findings, documenting workflows, and collaborating with government and contractor teams. The role requires a DoD Secret clearance, U.S. citizenship, on-site work in Norco, California, and travel that may include U.S. Navy vessels.

Leads a multidisciplinary marketing analytics organization spanning data engineering, analytics engineering, visualization, and data science. Builds attribution, ROI, customer journey, predictive signal, data governance, and AI-ready information architecture systems. Partners with Sales, RevOps, Finance, PLG, and Data teams to improve capital allocation and growth decisions. Oversees executive dashboards, metric alignment, team capacity, and strategic analytics delivery.

Leads digital and marketing analytics for customer acquisition across multiple lending brands. Owns performance reporting, measurement frameworks, data governance, attribution and marketing effectiveness models, funnel analytics, experimentation, dashboards, and executive insights. Partners with Marketing, Risk, Finance, Operations, Technology, Engineering, and Data teams to optimize conversion, ROI, customer journeys, and data infrastructure. Requires advanced SQL, web analytics, statistical analysis, experimentation, and marketing measurement expertise.

Leads customer performance analytics for the Growth organization and business units, translating transaction, digital, CRM, and customer data into strategic recommendations. Manages and develops an analytics team, prioritizes high-impact initiatives, establishes data quality and methodology standards, and oversees dashboards, reporting, visualization, and executive storytelling. Partners with senior leaders across Growth, Marketing, Finance, Technology, and CX to identify customer trends, risks, and growth opportunities.

Analyze product, user, transactional, and repayment data to develop risk and underwriting models, reduce losses and fraud, monitor model performance, and guide product and growth strategy. Build Looker dashboards and LookML models, conduct segmentation and experimentation, measure CAC and LTV, and communicate actionable insights to product, engineering, marketing, finance, and leadership.

Leads analytics for subscription growth, partnerships, channel performance, retention, profitability, and promotional effectiveness. Conducts deep-dive analyses and A/B tests, uses SQL and BI tools to identify performance drivers, and translates complex data into executive-ready recommendations. Partners with Growth, Strategy, Business Development, FP&A, Product, Marketing, Finance, and Operations stakeholders to support strategic decisions without owning forecasting or deal modeling.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Leads client measurement strategy, analytics audits, tracking implementations, QA, data modeling, attribution, CRO experimentation, privacy compliance, and migration analytics. Presents actionable findings to clients, partners across delivery teams, and helps grow the agency’s analytics practice through standardized processes, tooling, AI adoption, and sales support.

Analyze digital commerce data, develop reports and dashboards, identify trends and data-quality issues, and recommend process improvements. Collaborate with developers, business analysts, quality assurance teams, project managers, and business partners. The intern will apply data analysis, reporting, and visualization skills within an eCommerce environment.

Analyze client performance, KPIs, utilization trends, and operational benchmarks using large healthcare datasets. Build reporting views, dashboards, reusable queries, models, and notebooks for Client Success and Operations. Conduct cohort, benchmarking, root-cause, and network opportunity analyses, then translate findings into clear narratives for executives and clients. Partner with analytics leadership to improve analytical standards, documentation, and reusable frameworks.

Analyzes large-scale casino data to generate strategic insights, lead experiments, improve workflows and performance, and build scalable reporting frameworks and dashboards. Partners with cross-functional teams to influence strategy, communicate findings, and support data-driven decisions across products and markets.

Analyzes customer transaction, clickstream, CRM, and enterprise data to generate actionable insights for growth, marketing, product, business-unit, and executive stakeholders. Creates dashboards, visualizations, presentations, and strategic recommendations while supporting full-funnel reporting, data governance, analytical standards, and self-service analytics. Partners across teams to identify customer trends, risks, and growth opportunities.

Generate actionable insights from large and diverse datasets using statistical and machine learning methods. Develop predictive models, segmentation approaches, data pipelines, and features to support health programme targeting and evaluation. Design and analyze behavioural experiments, translate technical findings into clear narratives, and collaborate with internal teams and external partners to inform policy and programme decisions.

Leads the company’s analytics strategy, media analytics, web analytics, advanced modeling, experimentation, data governance, and analytics technology initiatives. Oversees analysis across television, streaming, audio, display, social, search, and web channels; interprets Media Mix Models; partners with senior marketing and media leadership; and manages, mentors, and develops a high-performing analytics team.

Develops consumer and retail insights by analyzing syndicated POS and panel data, diagnosing CPG client challenges, and translating complex datasets into compelling presentations and actionable strategic narratives. Collaborates with clients and internal teams, contributes expertise in fresh meat and health and wellness trends, and supports business development through insight-led storytelling. The hybrid role requires local presence in Sheboygan Falls, Wisconsin and 10–15% travel.

Participates in an 11-week hybrid internship by developing Power BI dashboards, conducting exploratory and ad hoc analyses, supporting data workflow automation, and assisting with predictive modeling. The intern gathers and processes data from multiple sources, documents methodologies and results, collaborates with cross-functional teams, and presents actionable findings to stakeholders.

Leads enterprise consumer insights and analytics to guide growth strategy, investment, innovation, portfolio decisions, category expansion, and M&A. Advises the CEO and executive leadership by integrating consumer behavior, marketplace, competitive, syndicated, transactional, and performance data. Builds predictive intelligence capabilities, monitors brand health, supports innovation and category entry, governs enterprise data ecosystems, and develops a high-performing consumer insights team.

Lead complex marketing and media analytics engagements, developing scalable reporting, dashboards, measurement frameworks, and analytical solutions. Use SQL, Python, or R and advanced methodologies such as media mix modeling, lift testing, incrementality testing, and experimental design to evaluate performance. Translate complex findings into strategic recommendations, influence client KPIs and investment decisions, resolve data-quality challenges, establish best practices, and mentor analytics professionals.

Lead the marketing analytics function, owning attribution, media mix modeling, incrementality testing, predictive lead-value modeling, full-funnel measurement, and marketing data infrastructure. Set the analytics roadmap, guide data science and engineering teams, establish campaign and data governance, connect marketing performance to downstream profitability, and advise executives on budget and growth decisions. The role also involves building the team, reviewing analytical methodologies, and applying modern AI and LLM tooling.

Supports Airbus manufacturing digital transformation initiatives through project governance, stakeholder engagement, change management, data-flow mapping, dashboard creation, exploratory analysis, data cleaning, and ad hoc stakeholder requests. The intern works onsite with operations, industrial engineering, data scientists, and engineers to improve production processes and deploy digital solutions.

Leads enterprise data and analytics transformation, including Snowflake platform strategy, reporting modernization, AI-enabled automation, data governance, predictive analytics, and executive insights. Builds and manages analytics teams, oversees enterprise data warehouse development, establishes responsible AI controls, manages budgets and vendors, and partners with senior leadership to improve business performance, credit outcomes, and customer results.