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

As the Lead BI Engineer, you will build the analytical infrastructure for data-driven decision-making, design scalable data models and dashboards, implement BI tools, and ensure data quality. You'll partner with various teams to define KPIs and insights, setting the direction for future BI efforts and team growth.

As a Staff Data Analyst, you will drive data-informed decisions by leading analytical initiatives, managing dashboards, conducting experiments, and collaborating across teams to improve the Match Success product group at Grow Therapy.

Lead the Product Analytics team to unify analytics efforts, establish metrics, drive strategic decision-making, and enhance product understanding and customer experiences through data-driven insights.

The Principal Credit Risk Analyst will lead credit risk strategy, monitor portfolio performance, collaborate on product growth, and engage in data-driven decision-making.

The Staff User Researcher will lead exploratory and evaluative research to shape the Go platform's strategy, focusing on AI integration and user experiences.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

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

The Senior Data Scientist will develop and deploy analytical models supporting marketing strategies, assess campaign effectiveness, and optimize customer engagement strategies, employing advanced data-driven methods and partnering with marketing stakeholders.

The Senior Manager, Risk Analytics will build and own Upstart's risk analytics program, managing Key Risk Indicators, data models, and reporting infrastructure for enterprise-wide risk monitoring and compliance. They will collaborate with risk owners and conduct data aggregation and reporting, supporting risk assessments and regulatory requirements.