[Hiring] Quantitative Research Analyst @Mathematica Inc

Role Description

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.

This is a general analyst posting, and analysts may support a range of project activities. We are especially interested in candidates with strong quantitative skills who can:

• Work with survey, administrative, or program data.
• Support data cleaning and analytic specification development.
• Conduct descriptive and impact analyses using appropriate statistical methods.
• Communicate quantitative findings clearly to technical and non-technical audiences.

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.

Qualifications

• Bachelor's degree in public policy, education policy, economics, sociology, psychology, statistics, data science, social science, or a related field, or an equivalent combination of education and experience. A master's degree or progress toward a master's degree is preferred for candidates whose experience is primarily academic.
• Coursework, training, or experience in research methods, program evaluation, policy analysis, statistics, economics, quantitative social science, data science, or a related area.
• Demonstrated interest in education, employment, workforce development, training, or related social policy research.
• Experience working with data, such as cleaning data, assessing data quality, conducting descriptive analyses, preparing tables, producing charts, or documenting analytic decisions.
• Familiarity with one or more statistical programming languages or analytic tools, such as R, Python, Stata, SAS, SQL, or similar tools. R or Python experience is preferred.
• Strong written and oral communication skills, including the ability to summarize complex information clearly and translate analytic findings for non-technical audiences.
• Strong attention to detail, organizational skills, and ability to manage multiple tasks and deadlines in a collaborative environment.

Requirements

• Experience conducting statistical analyses of survey, administrative, program, or longitudinal data.
• Coursework or experience in one or more advanced methods such as causal inference, experimental or quasi-experimental design, regression analysis, survey methods, sampling, nonresponse weighting, performance measurement, longitudinal data analysis, predictive modeling, or data visualization.
• Experience contributing to written research products, such as proposals, client memos, technical reports, issue briefs, literature reviews, academic manuscripts, or presentations.
• Experience or interest in technical assistance, training, or capacity building with public agencies, education organizations, workforce agencies, grantees, or community partners.

Benefits

• Competitive salaries and a comprehensive benefits package.
• Financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength.
• Opportunities to meet up with co-workers through coworking spaces where available.