Senior Research Analyst

POSITION:
Senior Research Analyst
ORGANIZATION:Center for Education Policy Research (CEPR), Harvard University
LOCATION:Cambridge, MA (Hybrid: 3 days in-office, 2 days remote)
POSITION TYPE:Term Appointment (1 year, with strong possibility of continuation)

SALARY:Begins around $90,000
PRIORITY Final date to receive applications:
February 27, 2026

The Center for Education Policy Research seeks a Senior Research Analyst to lead rigorous quantitative research on critical education policy topics. You will develop research questions, design and execute analyses on large, complex datasets, and communicate findings to audiences ranging from academic researchers to state education leaders, superintendents, and policymakers.

This is a high-impact position where your analytical work directly informs decisions that improve student outcomes in early literacy, college and career preparation, school effectiveness, and more!

• Independently develop research questions and identify appropriate research designs for policy evaluation
• Execute sophisticated quantitative analyses on large, longitudinal datasets using Stata
• Proactively identify and troubleshoot analytic challenges independently
• Manage project timelines and deliverables with meticulous attention to detail
• Communicate complex research findings clearly to both technical and non-technical audiences through reports, presentations, and data visualizations
• Contribute to grant applications, partner relations, and team mentorship

• Master's degree (preferably in public/education policy, economics, statistics, computer science, or related field)
• At least 5 years of relevant professional experience in data analysis, project management, and research
• Advanced proficiency in Stata
• Demonstrated ability to independently develop research designs and execute analyses
• Strong organizational skills and attention to detail
• Proven skill in communicating research findings to both technical and non-technical audiences

• Background in education or public sector
• Experience with Python or R
• Demonstrated success managing full research projects from conception to completion
• Experience working with data from multiple source systems

Interested candidates should submit a cover letter and resume as a single PDF document, confirming that you meet all basic qualifications. Candidates selected for further consideration will be asked to complete a case study, submit sample Stata code, and provide a writing sample. Finalists will present prior work.