Top Senior Analytics Jobs

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Analyze operational, customer survey, qualitative, and unconventional data to identify retention drivers and customer pain points. Synthesize findings into actionable recommendations, improve reporting, provide operational consulting, and present insights to senior leaders. The role requires advanced statistical and analytical skills, strong SQL and Snowflake capabilities, familiarity with Python and Cortex, and effective cross-functional communication.

Lead marketing analytics across the campaign lifecycle, including opportunity sizing, audience targeting, test design, performance reporting, and insight generation. Partner with Sales Strategy, Marketing, Product, and other stakeholders to shape analytical strategies, prepare and transform data, build visualizations, and translate complex findings into actionable business recommendations. Use Python, SQL, cloud platforms, and advanced analytics tools to improve sales funnel and marketing outcomes.

Analyze AML investigation volumes, risks, productivity, capacity, KPIs, and financial contributions. Develop analytical recommendations, optimize investigative operations, support modeling and strategy, and lead implementation and monitoring efforts. Partner with IT, Sales, Operations, Finance, and other teams to improve quality, service, volume, and profitability while supporting AML defenses and law-enforcement investigations.

Own product analytics strategy for a retail banking product, influencing roadmap and investment decisions through experimentation, causal inference, statistical modeling, and KPI frameworks. Query and transform large datasets using SQL, Python, or R; design and analyze A/B tests; identify growth opportunities; and communicate actionable insights to Product, Engineering, Finance, Research, and executive stakeholders.

Analyzes complex small-business card portfolio and customer behavior data to generate insights for marketing, finance, product, and risk decisions. Builds executive reporting and dashboards, applies statistical and data-mining methods, advises stakeholders, improves data quality and analytics processes, and pilots generative AI solutions to automate workflows and enhance performance measurement.

Develop fraud risk strategies and analytical solutions using complex datasets, SAS, SQL, Python, and machine learning. Monitor fraudulent behaviors, create risk metrics and dashboards, design loss-mitigation products, and present recommendations to senior stakeholders. Manage strategic initiatives, collaborate with product and operations teams, and supervise analytics employees through delegation, performance management, hiring, and mentorship.

Leads quantitative and qualitative Medicaid policy research from project scoping through dissemination. Oversees data acquisition and analysis, monitors state and federal policy changes, develops briefs and presentations, conducts stakeholder interviews, supervises research staff, manages external collaborators, and translates findings into actionable recommendations for policymakers, providers, advocates, and the public.

Own commercial analytics for direct-to-consumer and marketplace channels, analyzing pricing, promotions, conversion funnels, merchandising, product mix, customer behavior, and channel economics. Build scalable reporting tools, support forecasting and planning, and translate transactional and behavioral data into recommendations for digital commerce leadership. Partner with Marketing Analytics and Analytics Engineering to connect acquisition trends with commercial outcomes and ensure trusted data.

Maintains and analyzes investment data for clients by organizing raw data, building data systems and pipelines, integrating multiple sources, and improving data quality. Develops analytical tools, performs data mining, creates visualizations and reports, and collaborates with architects, product teams, clients, and project managers to meet business requirements.

Executes quantitative analytics for cobrand credit card portfolios, focusing on acquisition, engagement, retention, attrition, rewards, and cardholder value. Develops analytical frameworks, supports experimental design, maintains data integrity, applies segmentation and generative AI, and presents actionable recommendations to senior leaders and partners. Collaborates with marketing, product, and analytics teams to improve partnership strategy and customer outcomes.

Own product analytics for embedded business areas, leading experimentation, root-cause analysis, business-case development, KPI reporting, and strategic recommendations. Build dashboards and Looker explores, partner with engineering teams to improve data models and reliability, present insights to leadership, use AI tools to improve analytics efficiency, and mentor analysts. The role requires advanced SQL, Python, statistical experimentation expertise, and experience with consumer fintech or similar B2C data.

Leads an analytics team supporting Home Lending Operations by framing business problems, delivering analysis, building reporting, defining data requirements, and advising senior stakeholders. Develops AI and machine learning use cases to optimize operations and customer experiences, establishes analytics quality standards, supports experimentation and product measurement, and partners cross-functionally with Operations, Product, Technology, Finance, Strategy, Business Intelligence, and Modeling teams.

Manage data analytics for PULSE Risk & Compliance by analyzing large datasets, identifying transaction anomalies and risk exposure, validating models, improving reporting and processes, and supporting compliant data strategies. The role involves Python-based programming, BI, database and data-storage design, strategic testing, cross-functional collaboration, project leadership, and people management in a hybrid environment.

Analyze complex data to support business decisions, build self-service data solutions, develop dashboards and metrics, and improve data quality and governance. The role uses Python, R, Spark, SQL, AWS, business intelligence tools, and data management practices while partnering with business and technology teams on analytics and transformation initiatives.

Analyze go-to-market performance across Sales, Marketing, and Client Success, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and data marts using Salesforce and modern data-stack tools. Own data quality, documentation, BI-as-code contributions, and AI-enabled analytics workflows. Partner with stakeholders to turn ambiguous business questions into actionable recommendations and deliver results in agile two-week sprints.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Manages a data analytics team delivering complex analysis, forecasts, reports, dashboards, and business insights. Integrates data from multiple sources, defines data quality standards, audits reporting accuracy, and identifies operational improvements and strategic opportunities. Leads high-visibility projects, develops analytical specifications and presentations, communicates findings to senior management, and coaches team members on analytical quality and methodology.

Manages a data analytics team responsible for complex reporting, forecasts, dashboards, data integration, quality audits, and ad hoc analysis. Uses data trends, modeling, and optimization methods to identify business opportunities and operational improvements. Oversees strategic projects, develops data definitions and reporting specifications, presents insights to senior management, and coaches team members on analytical quality and accuracy.

Leads quantitative analytics initiatives that transform complex data into actionable insights and scalable, governed solutions. Responsibilities include stakeholder partnership, self-service analytics development, customer journey analysis, AI and automation application, executive presentations, production reporting support, regulatory compliance, process improvement, and mentoring junior analysts.

Leads marketing analytics for small-business acquisition campaigns, including opportunity sizing, experimentation, targeting, financial measurement, incrementality, profitability, and ROI analysis. Partners with Marketing, Finance, Modeling, Data, and delivery teams to translate complex data into actionable investment decisions. Builds analytical frameworks, reporting assets, data requirements, and measurement controls while using tools such as Snowflake and analytics languages to improve scalability, quality, and auditability.

Leads data analytics strategy, modeling, testing, reporting, and process improvements across business units. Mines complex databases, evaluates products and processes, improves operational efficiency, and consults on data systems. Manages and mentors junior analysts while supporting projects through the full lifecycle. The role emphasizes business intelligence, programming, strategic analysis, and collaboration in a fast-paced environment.

Leads product analytics and business intelligence initiatives across enterprise data teams. Develops data solutions, dashboards, metrics, and visualization tools; analyzes complex data to inform business strategy and product decisions; and supports data quality, metadata, lineage, access governance, and monitoring. Collaborates with Product, Technology, Design, Risk, and business stakeholders while using Python, R, Spark, SQL, Snowflake, and cloud technologies.

Analyze consumer credit card pricing strategies, pricing tests, APRs, customer behavior, and pricing elasticity. Develop predictive lifecycle analytics, testing frameworks, and actionable recommendations for acquisition and existing portfolios. Partner with Finance, Risk, and Product to quantify initiative benefits while mentoring junior analysts and managing multiple projects.

Leads marketing media measurement strategy across Social, TV, Influencer, and Content Marketing. Owns Marketing Mix Modeling, incrementality testing, causal inference, attribution, experimentation, and media effectiveness analysis. Uses SQL and statistical programming to evaluate customer and media data, develop investment recommendations, and communicate findings to executives. Partners cross-functionally with Marketing, Finance, Data Science, Engineering, Product, and agencies while leading analytics talent and remaining hands-on.