Top Data & Analytics Jobs in San Francisco, CA

The Head of Portfolio Analytics will build and manage credit portfolio analytics, optimizing strategies for profitability and risk, leading a data team with cross-functional collaboration.

Belvedere Trading seeks a Financial Analyst with a focus on Data Science to support market-making activities through technology. The role emphasizes teamwork and innovation within an inclusive environment.

The Senior Data Engineer will develop and maintain end-to-end data pipelines, manage data integration, and work with varied data sources to enable analytics and drive customer success.

Decision Analytics Interns develop statistical models, analyze data, generate client insights, communicate findings, and collaborate on project teams to implement solutions. They use tools such as R, Tableau, SAS, VBA, and Excel to address business problems for consulting clients. Candidates must be pursuing a bachelor’s or master’s degree, demonstrate quantitative analytical skills, and meet academic and communication requirements.

Leads technology vision, architecture strategy, engineering standards, and modernization for client reference data and markets fulfillment platforms. Advises senior leadership, resolves complex enterprise challenges, designs scalable and resilient data solutions, and advances AI-enabled, secure, compliant architectures. Responsibilities include data modeling, replication, metadata management, master data processing, identity resolution, integration, and adoption of emerging technologies across financial services portfolios.

The experienced quantitative strategist will support portfolio managers in alpha research and the implementation of quantitative trading strategies, utilizing systematic strategies and programming skills.

Design, build, and operate privacy-first People data pipelines and models. Ingest and standardize HRIS/People systems, ensure data quality and observability, implement access controls, and deliver trusted datasets, dashboards, and self-serve products for People leaders and executive reporting.

The Senior Business Intelligence Analyst will develop ETL processes, collaborate between finance and engineering teams, and implement data-driven strategies to enhance financial insights and automations.

The Manager, Data Engineering will lead the data engineering team, oversee data architecture projects, ensure data reliability, and foster a culture of learning.

Lead the strategy, architecture, governance, and evolution of Zscaler’s enterprise data platform. Manage a central data team, enable self-service and Data Mesh architectures, build Snowflake and dbt-based pipelines, and embed AI, RAG, observability, cost optimization, and AIOps into analytics operations. The role requires hands-on technical execution, team leadership, cross-functional collaboration, and continuous evaluation of modern data technologies.