Top Edtech Data & Analytics Jobs in San Francisco, CA

The Director of Analytics & GTM Systems leads analytics and systems functions, driving data-informed decisions and overseeing teams. They enhance operational efficiency, implement AI solutions, and align strategies with stakeholders, creating impactful business capabilities and fostering decentralized decision-making.

The Data Integration Analyst II oversees data integration solutions, troubleshooting issues, monitoring systems, and liaising with customers to support data flow to enhance educational outcomes.

The Associate Director, Analytics will manage data collection and analysis processes, providing insights to inform program decisions. Responsibilities include instrument design, data management, qualitative and quantitative analysis, and reporting visualizations.

As a Senior Data Analyst, you will leverage data and visual analytics to design dashboards, collaborate with teams, and ensure data integrity while working on public-sector projects.

The Principal Data Engineer will lead data governance, architecture, and team development to unify data across systems while ensuring quality and compliance. Responsibilities include building data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to drive data-driven insights and operational efficiencies.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

The Director of AI Enablement leads operations and strategy execution for AI initiatives, oversees training programs, manages patent processes, and mentors teams on AI adoption, ensuring organizational readiness and effectiveness in utilizing AI technologies.

The Instructional Designer I creates high-quality online courses, interacts with various teams, and requires strong communication and project management skills.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.

The Staff Analytics Engineer will enhance the analytics data layer, improve data quality, maintain core data models, and introduce AI-assisted workflows to optimize insights generation.