Top Data & Analytics Jobs in San Francisco Bay Area, CA

Deliver regional commercial performance insights, support goal setting and full-funnel analytics, enforce data governance and global KPI standards, support cross-regional initiatives, and partner with commercial leaders to surface risks, drivers, and actionable recommendations that improve GTM effectiveness.

As a Payment Risk Operations Analyst, you will manage compliance, monitor portfolios, and develop strategies to mitigate risk for customers. Collaboration with cross-functional teams and customer education on compliance is essential.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

Lead analysis of marketing performance and campaign ROI, build and maintain dashboards, deliver actionable insights, and collaborate with cross-functional teams to inform targeting, segmentation, and predictive modeling efforts.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

As a Senior Associate, you will analyze complex problems, mentor junior members, build client relationships, and enhance service delivery through technical knowledge.

The Senior Growth Marketing Analyst will own marketing analytics for Afterpay, identify growth trends, evaluate marketing ROI, and present insights to stakeholders.

The Funding Risk Analyst will evaluate and monitor fraud risk metrics, provide data-driven insights, and collaborate with cross-functional teams to mitigate losses and improve member experience.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

The Head of Analytics Engineering will lead the Analytics Engineering team, oversee data infrastructure, and drive data initiatives within Block's Risk organization.