Top Data Analyst Jobs in San Francisco, CA

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 Lead Data Analyst will drive analytics priorities in Tasker Operations, delivering actionable insights to support growth and operational improvements. Responsibilities include building analytical frameworks, owning data models, leading projects, and providing technical coaching.

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.

As a Staff Data Analyst, you will drive data-informed decisions by leading analytical initiatives, managing dashboards, conducting experiments, and collaborating across teams to improve the Match Success product group at Grow Therapy.

The Lead Data Analyst will own forecasting workstreams, develop models, run analyses, partner cross-functionally, and improve analytical tools.

The Staff Data Analyst will lead forecasting and performance insights for Chime's growth, collaborating across teams to inform decisions and develop analytics tools.

The Data Analyst will discover data insights, create analytics, and collaborate on data projects to improve healthcare outcomes.

As a Business Intelligence Analyst, you'll analyze data to improve healthcare outcomes by collaborating with various teams and automating data processes.

As a Data Analyst I, you will support the analytics team with reports, dashboards, data validation, and project contributions, while building foundational analytical skills.

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

The Lead Data Analyst will estimate marketing incrementality and improve performance using media mix modeling and predictive modeling. Responsibilities include mentoring other analysts, partnering with teams, and developing predictive models to drive business outcomes.

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

The Data Analyst will build performance reporting tools, automate data processes, conduct ad-hoc analyses, and provide insights for company initiatives.

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 Data Analyst at Doximity, you will analyze extensive datasets, work with cross-functional teams, create analytics, and inform data strategies to enhance healthcare solutions.

Use large healthcare datasets to identify behavioral patterns, build product and client-facing analytics, partner with product and engineering to lead data projects from ingestion through analysis, and help shape data team strategy and recommendations.

The Data Analyst will provide insights and reporting for product analytics, supporting product launches, data visualization, and collaboration with product and technical teams for data-driven decision-making.

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 Collateral Analyst will analyze collateral performance, develop financial models, and provide market insights to support commercial real estate lending.

As a Senior Data Analyst, you'll develop and scale banking products, drive experimentation, perform statistical analysis, and collaborate cross-functionally to enhance member engagement and retention based on data-driven insights.

As a Senior Data Analyst, you will enhance member experiences through data insights, experimentation, and collaboration with product and engineering teams to drive engagement and retention.

As a Data Analyst, you will reconcile and normalize customer data, support onboarding processes, and improve database performance, directly impacting business operations.

Monitor and analyze growth metrics across acquisition, activation, engagement, and retention. Build and maintain dashboards and reports, support design and validation of growth experiments, identify drivers of metric changes and anomalies, and collaborate with cross-regional analytics stakeholders to ensure analytical consistency.

The Data Analyst will transform data into insights for product decisions, utilizing SQL for analysis, A/B testing, and constructing dashboards for stakeholders.

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.