Top Data & Analytics Jobs in San Francisco, CA

Analyze enrollment and application data to detect and reduce synthetic identity and ID theft, design and monitor new-account risk policies, build dashboards tracking Funnel Enrollment Rate and fraud metrics, monitor vendor models and risk signals, and support cross-functional ad-hoc analyses.

Lead and grow data engineering teams to build a scalable, AI-ready data platform with strong governance. Partner with Product, Analytics, Data Science, and Marketing to deliver trusted data products, drive data quality, CI/CD, and operational reliability, and prioritize high-impact work while fostering technical excellence and innovation.

As a Senior Software Engineer in Data Engineering, you'll build scalable data pipelines, design schemas, ensure data quality, and collaborate with teams to produce insights, thus enhancing decision-making throughout the fintech sector.

Lead credit risk strategy for MyPay, owning underwriting, dynamic limits, and loss forecasting. Build predictive models, run A/B experiments, create dashboards, and manage a team of data analysts while partnering with product, engineering, data science, and finance to balance growth and risk.

The Data Governance Engineer develops governance frameworks, policies, and tools for data quality, ensuring compliance and high-confidence decision-making. Responsibilities include automation, implementing data governance policies, and advocating AI adoption within data governance processes.

The role involves implementing forecasting processes, scenario planning, managing analytics insights, and collaborating with various stakeholders to drive business improvements using data analysis and tools.

Lead model risk management function, focusing on validation of financial, credit, and fraud models, while ensuring compliance with regulatory standards and enhancing controls.

The Lead Data Analyst will analyze user journeys, optimize marketing efforts, and mentor the analytics team by leveraging data storytelling and experimentation.

As an Analyst, you will build data infrastructure, develop reports and dashboards, analyze trends, and provide insights to improve member experience at Chime.

Lead the P2P Product Analytics team, providing data-driven insights, overseeing analysts, and fostering a data-driven culture to enhance product growth.