Research Analyst

Public Sector Research Analysts produce the evidence that governments use to decide where to spend money, which programs to expand or cut, and whether existing policies are achieving their intended effects. That sounds abstract; the day-to-day work is not. It involves pulling administrative data from a state Medicaid system, cleaning it, running a difference-in-differences model, and writing a memo that tells a deputy secretary whether a new care management intervention is bending the cost curve — on a three-week deadline before the legislature reconvenes.

The job sits inside agencies at every level of government. At the federal level, dedicated research offices at agencies like the Department of Labor's Chief Evaluation Office, HHS's ASPE, the Department of Education's Institute of Education Sciences, and the Congressional Budget Office employ research analysts as their primary output. State government equivalents include budget and planning offices, legislative fiscal offices, and department-level policy shops. Local governments, particularly large counties and cities, increasingly hire analysts to manage performance management systems and support grant-funded evaluations.

A given week might involve four distinct types of work. One day is cleaning a dataset pulled from a program management system, fixing duplicate records, and merging it with census tract-level demographic data. Another day is reviewing draft legislation and pulling together quick-turnaround evidence on what comparable programs in other states have shown. A third day is attending a cross-agency working group on homelessness data definitions — because what looks like an analytical problem is actually a definitional disagreement between two agencies using different intake forms. The fourth is writing the executive summary of a long-form report in language a state legislator can actually use.

Research Analysts in government are rarely the final decision-makers, and that tension between analytical independence and institutional responsiveness is the central professional challenge of the role. The best analysts learn to produce rigorous work that is also timely, accessible, and framed around the questions that decision-makers actually face — not the questions that would make for the cleanest research design.

Education:

• Bachelor's degree in public policy, economics, political science, sociology, statistics, or a related quantitative field (entry level)
• Master's degree in public policy (MPP), public administration (MPA), applied economics, or social science research methods (preferred for GS-11+ or equivalent)
• PhD for senior research scientist roles at national labs, federal statistical agencies (BLS, Census), and congressional support agencies

Technical skills:

• Statistical analysis: regression (OLS, logistic, multilevel), difference-in-differences, propensity score matching, basic time-series methods
• Software: Stata, R, or Python for analysis; SAS at health agencies; Excel for stakeholder-ready outputs
• Survey methodology: questionnaire design, sampling strategy, weighting, nonresponse adjustment
• Data management: SQL for administrative database queries; familiarity with federal statistical data systems (IPUMS, FRED, USASpending.gov, ACS microdata)
• Data visualization: Tableau, Power BI, or ggplot2 for producing charts that hold up in a policy brief

Knowledge domains (role-specific):

• Federal budget process and appropriations cycle for OMB/congressional agency roles
• Program evaluation frameworks: logic models, theory of change, randomized controlled trials vs. quasi-experimental designs
• Regulatory analysis: OIRA review process, benefit-cost analysis methodology for rules-focused positions
• Geographic information systems for roles at planning or infrastructure agencies

Soft skills that matter:

• Written clarity under deadline — policy briefs are often read by people with 10 minutes
• Comfort explaining methodological limitations to audiences who want certainty
• Institutional patience: government research moves on government timelines
• Political awareness without political bias — understanding what questions are in play without letting that distort the analysis

Public sector research analysis is a stable and moderately growing field. Government demand for evidence-based policymaking has built institutional infrastructure — chief evaluation offices, performance management systems, evidence act compliance offices — that was not present a decade ago. The Foundations for Evidence-Based Policymaking Act of 2018 required federal agencies to establish evaluation officers, create learning agendas, and publish annual evaluation plans. That mandate created and sustained positions that outlast any single administration's priorities.

Federal hiring has been uneven in recent years, with hiring freezes and workforce reductions at some agencies creating uncertainty for entry-level applicants. However, research and evaluation functions tend to be more resilient than program administration roles during budget contractions, because oversight bodies — GAO, congressional committees, IG offices — continue generating demand for agency responses to data requests regardless of the political environment. Analysts with experience responding to oversight requests or supporting GAO engagements have durable value.

State and local government demand is growing faster than federal in many regions. Federal grant programs increasingly require evidence-based program selection and outcome reporting, pushing state agencies to build internal analytical capacity they previously contracted out. Analysts who understand both the methodological requirements of federal grants and the operational constraints of state agencies are in genuine short supply.

The skills premium on quantitative methods is sharpening. Research Analysts who can work with administrative microdata, build reproducible analytical pipelines, and interpret quasi-experimental designs are commanding better offers than generalists with strong writing but limited statistics background. At the same time, the ability to communicate findings to non-technical audiences remains the rate-limiting skill for many technically strong analysts — agencies do not benefit from research that never reaches a decision-maker.

Career trajectories vary by sector. Federal analysts on the GS schedule move from GS-9 or GS-11 through GS-13 or GS-14 in 6–10 years with consistent performance. Senior analyst and branch chief positions at research agencies carry GS-14 or GS-15 salaries exceeding $120K in most localities. The think tank and consulting tracks offer faster salary growth but less job security. Some experienced analysts move into SES positions or policy-facing roles as their agencies' primary technical authority.

Dear Hiring Manager,

I'm applying for the Research Analyst position in [Agency/Office]. I completed my master's in public policy at [University] in May, concentrating in quantitative methods and social program evaluation, and spent the past year as a research assistant at [State Agency/University Research Center] working on administrative data from the state's SNAP and TANF programs.

The core of that work involved linking enrollment records across agencies, cleaning files with significant missingness and coding inconsistencies, and running propensity score matching to construct comparison groups for a legislative evaluation of an employment services pilot. The analysis was used in a fiscal committee briefing, which meant translating a methods section into two plain-language paragraphs explaining why the comparison group was credible. That translation challenge — not the statistics itself — turned out to be where the real work happened.

I have working proficiency in Stata and R, and I've used SQL to pull records from state MMIS and workforce data systems. I'm familiar with the ACS and CPS microdata environments and have worked through FOIA-adjacent data agreements coordinating restricted-use file access between two state agencies.

What draws me to this position specifically is [Agency]'s learning agenda focus on [policy area]. The evaluation questions on workforce program returns are directly adjacent to the research I've been doing, and I'd bring both substantive familiarity and the methodological background to contribute from the start.

I'm available at your convenience to discuss the role.

[Your Name]