Quantitative Research Associate, Employment & Economic Opportunity

Job Description:

• 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.

Requirements:

• 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.

Benefits:

• AIR’s Total Rewards Program
• Competitive salary
• Anticipated annual salary
• Employee wellness programs