Top Data & Analytics Jobs in San Francisco, CA

The Director of Strategic Bureau Business Manager leads the centralized framework for credit data engagement, manages vendor relationships, ensures compliance, and drives data quality, innovation, and strategic agility.

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 Director of NBA Insights leads global research initiatives for the NBA 2K franchise, utilizing player insights to inform strategy and marketing while managing a global insights team.

The Senior Data Engineer will design, implement, and maintain data infrastructure and ETL pipelines, optimize data flow, and develop reporting solutions. They will collaborate with teams to enhance data quality and support data-driven decision-making.

As a Data Engineer at Notion, you'll build datasets, integrate financial systems, design data pipelines, and support analytical needs for the finance team.

As a GTM Analytics Engineer at Gusto, you'll build and maintain data infrastructure, automate data processes, and support Sales metrics to drive revenue growth.

Manage a team of Data Analysts, deliver actionable insights via dashboards, oversee project management, and collaborate on data modeling while recommending tools and trends in business intelligence.

This Analytics Engineer role combines data engineering, data science, and business analytics to provide financial insights, ensure data quality, and improve data-driven decision-making within finance operations.

The ERM Analyst will analyze enterprise-wide risks, utilizing data mining, visualization, and strategic thinking to support risk management and decision-making across the organization.

The Digital Innovation Co-Op role involves collaborating with data scientists and engineers to develop AI-powered tools, contribute to ML model development, analyze supply chain data, and present findings, all while gaining exposure to applied AI/ML in operational settings.