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

As the Head of Data at Philo, you will lead a team of Data Scientists, Engineers, and Analysts to support data-driven decision making across the company. You will ensure the accuracy and accessibility of data for various departments, oversee data science operations, and drive product insights and experiments to optimize user engagement and business outcomes.

As a Senior Data Scientist at Gusto, you'll analyze payments and risk data, develop data-driven solutions, and communicate insights to cross-functional teams. Your expertise will enhance product development while ensuring security and reliability in payment operations.

As a Senior People Systems Analyst, you will provide process documentation, enterprise analysis, and system configurations for Workday. Your role will involve gap analysis, requirements gathering, testing, and supporting cross-functional initiatives, ensuring effective systems solutions to enhance People business processes.

The Analytics Lead for Scaled Pricing Strategy at Affirm will define pricing strategy, drive strategic initiatives, and work with cross-functional teams to optimize pricing and market approach. The role involves leveraging market research and performance data for sustainable growth in a rapidly evolving financial landscape.

As the Director of Data Science and AI, you will lead a team to develop and deploy ML models, drive AI strategies, enhance data infrastructure, and collaborate with stakeholders to deliver customer-centric analysis and initiatives.

The Senior People Analyst will analyze and interpret people data to provide insights that influence HR strategies, develop dashboards and reports to track workforce trends, collaborate with various stakeholders, and ensure data integrity by working with HR technology systems.

As a Senior Analytics Engineer at Vouch, you will architect and optimize data models using tools like dbt and SQL. You will collaborate with business stakeholders and engineering teams to ensure data quality, maintain data models, and support a data-driven culture within the company. Your role will include documentation, troubleshooting data issues, and promoting best practices in data management.