Top Edtech Data & Analytics Jobs in Boston, MA

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

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.

The Assistant Director for Graduate Studies in Data Science advises master's students, assists in admissions, teaches courses, and collaborates on curriculum development.

Lead analytic work for client engagements in education and social sectors: manage projects, clients, and staff; design and perform analyses and visualizations; maintain data management, privacy, and automated scripts; drive internal reporting and continuous improvement; contribute to business development and organizational strategy. Part-time (20–25 hours/week), East Coast preferred, travel up to 20%.

The Director of Privacy Operations oversees enterprise privacy strategies, leads cross-functional teams, manages privacy technologies, and ensures compliance with regulations.

Lead enterprise analytics strategy and roadmap, consolidate analytics teams, deliver data products and governance, scale advanced analytics and MLOps, partner with IT and business leaders to drive data-driven decision-making and measurable financial impact.

The Senior Data Systems Administrator ensures effective management of Thayer Academy's Blackbaud systems, overseeing data quality, integrations, reporting, and user support while collaborating across departments.

Lead and execute the company data strategy; design and maintain scalable data models and warehouses; drive ETL implementation; enforce data governance; provide analytics and insights to cross-functional teams; manage budgets, hiring, and team development; monitor performance and adopt emerging data technologies to optimize operations.

Design, implement, and support enterprise data integrations connecting JDE, Workday, Salesforce and other platforms. Lead SQL-driven ETL/ELT pipelines, develop reusable integration frameworks, ensure data integrity and audit readiness, perform regression and production troubleshooting, and provide architectural oversight and mentorship across multiple concurrent projects.

Design and advance enterprise data and BI architecture: optimize OLTP/OLAP models, establish modeling/integration/governance standards, lead POCs, mentor teams, enable AI/ML, and guide cross-functional implementation from concept to production.