Top Data Analyst Jobs in San Francisco, CA

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Principal Revenue Data Analyst will build analytics and automation for finance controls, create data models, dashboards, and ensure data quality while collaborating cross-functionally.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

As a Principal Analyst in Growth Marketing, you will lead analytics for acquisition channels, applying advanced analytical techniques to drive business growth and improve marketing performance while collaborating across teams.

Support Sports Game Science & Insights by analyzing game and business data to produce actionable insights, reports, and visualizations. Translate stakeholder needs into data projects, build scalable self-service tools, benchmark titles, and identify measurement approaches to drive growth and lifetime value.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

Build and maintain dbt models, write SQL to investigate and validate data, implement data quality checks, document lineage and metrics, resolve production issues (including on-call), and partner with analysts and business teams to deliver production-ready data products using modern warehouse tooling and AI-assisted frameworks.

The Compensation Data Analyst ensures data accuracy and integrity for compensation insights, troubleshooting data issues, and collaborating with various teams to maintain data quality.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Lead analytics for Brigit's Line of Credit product: define core metrics, forecast revenue and costs, design experiments, optimize underwriting and collections, evaluate and monitor predictive models, build dashboards, and deliver ad-hoc analyses to influence product, finance, and leadership decisions.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

The Senior Data Analyst will analyze complex data sets, provide end-to-end data solutions, and collaborate with stakeholders to drive business decisions.

Monitor and validate sports data pipelines, detect and trace inaccuracies, define validation tests, research roster and participation data, support feature development and model analysis with Data Scientists, document findings, and maintain familiarity with databases and metadata.

Transform large, complex datasets into actionable metrics using SQL, Spark, and scientific programming. Build dashboards and data context layers, ensure data quality, advise on telemetry, and collaborate with product, GTM, engineering, and data science to inform strategy and track product and user performance.

The Data Analyst II at Brex enhances tracking and reporting capabilities across teams, delivering insights through analyses and visualizations, while collaborating with Data Scientists and Engineers.

As a Senior Data Analyst, you'll manage analytics lifecycles, build dashboards, write SQL and Python code, collaborate with teams, and mentor junior analysts.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

The Senior Analyst will manage eDiscovery matters, collaborate with teams, develop AI tools, and ensure compliance in legal data processes.

Partner with the Growth Marketing Lead to synthesize channel performance, own KPI reporting, run LTV/CAC and cohort analyses, evaluate experiments, and translate messy data into clear, prioritized recommendations that drive marketing decisions. On-site in San Francisco, measured by the decisions your analysis changes.

Deliver business and data analysis for BI and data solutions, define and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, create wireframes, support enterprise data integration, drive SLA/KPI commitments, and liaise with clients to translate business needs into data solutions.

Perform business analysis and define requirements for BI and data solutions. Design and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, provide enterprise data integration analysis, wireframe solutions, engage clients, meet SLAs/KPIs, and support solution design and troubleshooting.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.