Top 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.

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.

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.

Lead and build a marketing analytics function to connect marketing activity to revenue. Design attribution and unified measurement frameworks, quantify pipeline contribution, optimize channel mix and ABM, build forecasting and predictive models, ensure clean data infrastructure, and hire/manage a small analytics team. Partner with RevOps, Sales, and marketing teams to drive data-driven budget and planning decisions.

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.

The Analytics Manager leads a team to analyze data for credit solutions, collaborates cross-functionally, and develops strategies for operational efficiency.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.