Top Data & Analytics Jobs in San Francisco, CA

The Data Architect will design, develop, and maintain data architecture and infrastructure, including data modeling, data integration solutions, and governance policies. The role requires collaboration with teams to ensure data integrity, security, and accessibility while leading data transformation initiatives.

As a Research Analyst at The Block, you will create in-depth thematic reports on digital assets, manage report deadlines, collaborate with clients, and identify topics for further research. Your analytical skills will help you produce insights relied on by institutional investors and corporate executives.

As a Sr. Data Scientist, you will analyze large complex datasets, build analysis pipelines, develop machine learning models, and collaborate with engineers to create solutions for ViFiVE’s digital health products, all while presenting findings to stakeholders.

The Data Analyst will analyze diverse datasets and machine learning model outputs, ensuring high-quality project deliverables alongside account managers. Responsibilities include data wrangling, delivering insights through storytelling and visualizations, and supporting client objectives. Collaboration with data scientists and account teams is key to achieving project goals.

As the Senior Marketing Analyst, you will analyze data to enhance customer acquisition and retention strategies, create reports and dashboards, manage the martech stack for mobile apps, and apply statistical models to drive marketing decisions.

The Vice President of Data Platform leads the strategy for building and optimizing the data engine at MediaRadar. This role involves enhancing data processes, leveraging AI for operational efficiencies, managing a high-performance team, and ensuring data quality for media analytics. The VP must execute the data roadmap and maintain cross-functional collaboration to meet business needs.

The Senior Data Engineer will design, develop, and maintain data pipelines, storage solutions, and ensure data quality. Collaborating with cross-functional teams, the engineer will optimize data systems and enforce data governance policies while staying updated on emerging technologies.