Compile, review, and submit U.S. national and subnational education data to international organizations and partners.
Conduct basic statistical and descriptive analyses, (e.g., means, medians, percentages, distributions, subgroup comparisons, and regressions).
Perform detailed data quality checks on statistical tables, figures, and narrative text to ensure accuracy, consistency, and compliance with technical standards.
Review and provide input on assessment and survey frameworks, questionnaires, and content‑related materials, including documenting comments and supporting alignment or review studies.
Support survey and assessment operations by helping implement procedures, manage logistics, track timelines, and carry out quality assurance activities.
Assist with preparation of technical documentation, methodological descriptions, literature summaries, meeting notes, and project records.
Contribute to the development of descriptive analyses and support interpretation of results for reports, presentations, and policy‑facing materials.
Support production and review of reports and data products in PDF and web‑based formats.
Assist with project management tasks, including organizing files, tracking deliverables, troubleshooting issues, and coordinating across multiple concurrent projects.
Maintain professional, collaborative working relationships with internal teams, federal clients, and international partner organizations.

Bachelor’s degree and 2+ years of relevant experience or a Master's degree in education, statistics, economics, social sciences, public policy, data science, or a related field.
Substantive coursework or training in statistics or quantitative methods.
Understanding sampling and weighting theories and techniques is preferred, but not required.
Proficiency in Microsoft Excel (e.g., formulas, pivot tables, data review and validation).
Experience working with datasets, large spreadsheets, databases, or survey data.
High level of familiarity/proficiency with statistical programming (e.g., R, SAS, Stata) and the ability to read and interpret code or scripts for troubleshooting purposes.
Subject matter knowledge in elementary, middle, or high school science, reading, mathematics, and/or financial literacy is preferred, but not required.
Familiarity with the U.S. education system, including education standards (e.g., CCSS, NGSS) and state education systems and policies is preferred, but not required.

Quantitative Research Associate, Employment & Economic Opportunity

Key skills