Top Remote Senior Analytics Jobs in San Francisco Bay Area, CA

The Manager, Data Analytics will lead a team to develop insights from data metrics, driving actionable results and fostering a strong data culture. This role involves breaking down complex problems, coaching team members, and being accountable for impactful outcomes in the organization.

The Senior Data Analyst will partner with PM and Engineering leaders to define and monitor key metrics related to product performance, develop automated dashboards for executives, and collaborate on data integration efforts, focusing on causal attribution of performance improvements.

The Senior Credit Manager / Senior Staff Data Scientist will develop and implement credit risk strategies and models for various lending products, with a primary focus on Personal Loans. Responsibilities include analyzing risk trends, collaborating with cross-functional teams, and using data-driven approaches to enhance lending strategies.

As a Senior Data Analyst at Gusto, you will leverage data to support strategic decision-making, collaborate with various teams to identify growth opportunities, analyze data for insights, and develop visualizations and reports to communicate findings effectively.

The Sr. People Data Analyst will analyze and interpret workforce data to provide insights that inform HR strategy and decision-making. This role involves developing dashboards and reports, collaborating with HR and business leaders, and ensuring data integrity. The analyst will utilize data visualization tools to communicate key insights effectively.

As a Senior Data Analyst at Vouch, you'll develop data structures and frameworks, conduct stakeholder discovery, collaborate with various teams, and lead data projects to enhance data-driven decision-making across the organization.

As a Senior Data Analytics Engineer, you will support cross-functional teams by conducting end-to-end analyses, designing and building dashboards, maintaining data transformations, and ensuring data quality. You'll create reusable artifacts for data analytics and facilitate communication between technical and non-technical stakeholders.