Top Edtech Data & Analytics Jobs

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

The Analyst will implement Axiom software, facilitate client integration, utilize SQL and Excel for problem-solving, lead training, and enhance operational processes.

Lead and develop teams for hands-on labs, improving learning strategies and operational efficiency while collaborating across departments. Shape the future of technical learning and manage production operating models.

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 Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Business Intelligence Analyst will support analytics across teams, maintain data models, build dashboards, and communicate insights with stakeholders.

The Research Compliance Analyst manages the production of institutional reports, provides data for accreditors, and responds to external surveys.

The Database Specialist analyzes data, develops reports on KPIs, supports Supply Chain initiatives, audits databases, and prepares presentations and documentation for departmental management.

As the Analyst, Project Governance, you will ensure data integrity, deliver portfolio analysis and reporting, and support project teams in governance processes.

The Data Engineer will design, develop, and maintain data pipelines, support researchers through data management, and ensure compliance with governance requirements while communicating technical information clearly.

The Senior Analyst will design lead scoring models, automate workflows, and utilize AI tools to derive insights for sales and marketing collaboration. They will also maintain documentation to ensure team efficiency.