Top Edtech Data & Analytics Jobs in San Francisco, CA

The Senior Business Analyst will identify growth opportunities through data analysis, inform product strategy, and support cross-functional teams with actionable insights, enhancing global connections among scholars.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The role involves translating learning science into educational products, advising on pedagogical alignment, and analyzing learning science inputs for product development. Candidates will also evaluate various applications of learning science principles to assess program impact and foster collaborative relationships with partners.

As a Data Engineer, you'll design and manage the data warehouse and ingestion solutions, ensuring data integrity and quality while collaborating with various teams to support analytics and business intelligence needs.

As a Core Product Data Scientist, drive insights through data analysis, collaborating with cross-functional teams and developing A/B testing strategies for product enhancement.

The Marketing Analyst will develop analytics frameworks, model customer lifetime value, write SQL, and support marketing strategies through statistical modeling and experiments.

The Senior Data Manager interprets and analyzes data, creates dashboards, maintains data quality, and oversees data strategy implementation.

The Growth Associate will run experiments to identify effective marketing channels, document results, collaborate with teams, and create repeatable playbooks to optimize growth.

The Head of Data and Analytics will lead a data organization, ensuring data-informed decision-making across all teams, while developing scalable data pipelines, governance, and self-serve tools.

The Data Analyst I supports data import processes, validates data, performs quality control checks, and assists customers with data issues while communicating effectively with them.