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Quantitative Research Analyst, Education Remote Eligible

Remote / Online - Candidates ideally in
Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Mathematica
Remote/Work from Home position
Listed on 2026-06-26
Job specializations:
  • Research/Development
    Data Scientist, Research Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Quantitative Research Analyst, Education & Employment (Remote Eligible)

About Mathematica

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public‑ and private‑sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide‑ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.

Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee‑owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

Read more about our benefits here:
Benefits at a Glance.

Primary Duties And Responsibilities

We are seeking a Research Analyst to join our Education and Employment team. Research analysts contribute to quantitative and qualitative research and analysis that examines the effectiveness and implementation of policies and programs. Analysts help assess the strength of study designs, summarize existing research through literature reviews, evidence reviews, systematic reviews, and meta‑analyses, support the design and implementation of evaluations, and help disseminate findings through accessible reports, briefs, presentations, websites, and other tools.

Analysts typically work on more than one project at a time and are matched to projects that suit their interests and skills and offer opportunities for professional growth. Analysts work under the guidance of researchers, statisticians, data scientists, and project leaders while building expertise in new methods and topic areas.

Our Current And Recent Work Includes Projects Such As
  • Helping states, school districts, workforce agencies, and other organizations build capacity to use data and strengthen supports for students, educators, job seekers, workers, and families.
  • Working collaboratively with human services, education, and workforce agencies to test implementation strategies and gather information on their success, using approaches such as rapid cycle evaluation and continuous improvement.
  • Conducting systematic reviews, evidence reviews, and meta‑analyses to determine what works and assess the effectiveness of interventions, programs, policies, and practices in education, employment, training, family support, and related policy areas.
  • Supporting rigorous evaluations of programs and policies through study design, study recruitment, data collection, data quality assessment, analysis planning, and dissemination of actionable findings.
  • Developing analytic products, technical assistance resources, dashboards, reports, and briefs that help clients and partners interpret evidence and use data for program improvement and policy decisions.
Responsibilities Quantitative analysis and programming
  • Assist with quantitative analyses, including summarizing data quality issues, cleaning and preparing survey or administrative data, defining analysis specifications, and developing output formats.
  • Write, review, or modify code to conduct data extraction, cleaning, manipulation, descriptive analyses, table production, and data visualization.
  • Apply or support statistical and quantitative methods appropriate to the project, such as descriptive statistics, regression, weighting, power calculations, performance measurement, longitudinal analysis, or quasi‑experimental methods, under the guidance of senior staff.
  • Develop specifications, user manuals, reproducible documentation, and other materials for reporting systems, dashboards, analytic tools, and programming workflows.
Research and evaluation
  • Participate in interviews, site visits, focus groups, surveys, or other data collection activities to assess…
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