Top Financial Services Data & Analytics Jobs in San Francisco, CA

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Director of Analytics leads strategic insights, managing analytics for revenue growth, team development, and operational improvements using data-driven strategies.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

The UAT Lead is responsible for validating developed solutions in the Agile framework, collaborating with product teams to create test strategies, executing test plans, and facilitating alignment across project teams.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Senior Credit Strategy Analyst will implement credit and fraud policies, optimize underwriting strategies, analyze portfolio performance, and collaborate across teams to enhance credit strategies.

The Associate Principal Analyst conducts surveillance reviews, analyzes trading activity for violations, updates internal guidelines, develops analytics, and prepares reports. They also provide training and work on special projects.

The Senior Analyst conducts surveillance reviews to identify market activity violations, analyzes trading activity, and develops analytics tools to combat fraud.

As a Data Engineer, you will build and own the data infrastructure, design pipelines, ensure data quality, and implement DataOps practices while collaborating closely with product and engineering teams.