Top Senior Level Machine Learning Business Intelligence (BI) Jobs in San Francisco, CA

The Business Analyst acts as a liaison between the client and technical teams, analyzing complex business problems, developing requirements, and providing training. Key duties involve working with BI/DW teams, understanding data warehousing concepts, and assisting users with analytics tools.

As a Data Scientist, you will define metrics, design A/B tests, and create dashboards to improve data-driven product development at OpenAI.

The Sector Lead for Financial Services will oversee channel research projects, ensuring quality and relevance while guiding a team of analysts. Responsibilities include developing questionnaires, managing research workflows, and expanding coverage across financial services sectors.

Lead the People Analytics function by developing AI tools, predictive models, and dashboards to enhance HR decision-making and employee experience.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

As a Senior Business Systems Analyst, you'll manage SaaS portfolios, identify AI automation opportunities, gather requirements for engineering, and provide insights into cross-functional initiatives.

The role involves forecasting and performance management of consumer deposits, delivering strategic insights through analytics, and communicating findings to stakeholders.

As a Sr. Engineering Insights Analyst, you'll analyze engineering data, create dashboards, and drive insights to improve engineering processes, productivity, and reliability. Collaboration with engineering teams is key to defining metrics and ensuring data quality.

Design, develop, and maintain enterprise BI solutions using MicroStrategy, Oracle, and PostgreSQL. Collaborate with stakeholders for reporting and dashboards, optimize performance, and leverage AI tools for automation.