Data Analyst II

American Institutes for Research

Data Analyst II supporting healthcare-related projects at the American Institutes for Research. Analyzing complex data to ensure high-quality data-driven insights.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $110,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analyzing healthcare-related data using SAS, Python, and R, with a strong focus on statistical modeling and reporting. Proven ability to manage large datasets and adhere to rigorous quality assurance standards while effectively communicating findings to clients.

Highest-signal resume keywords

SAS ProgrammingStatistical ModelingData AnalysisQuantitative ResearchProblem Solving

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical AnalysisData CleaningData ManagementQuantitative MethodsProgrammingDocumentationResearch DesignTechnical ReportingData InterpretationQuality Assurance

Soft Skills

Professional InteractionTime ManagementAttention to Detail

Tools & Technologies

SASPythonR

Industry Keywords

Healthcare DataClaims AnalysisMedicareMedicaidMEPSHealth PolicyEpidemiology

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Analyze healthcare-related data, such as claims (e.g., CMS) and national surveys/databases (e.g. MEPS).
Construct, clean, statistically model, and report findings using SAS and Python or R.
Implement statistical methods to analyze data.
Follow programming guidelines and rigorous quality assurance approaches, including the maintenance of accurate documentation for the programs.
Analyze data, summarize results, and incorporate findings into memos, briefs, and/or reports tailored to client needs.
Interact professionally with peers, managers, and clients.
Strictly adhere to timelines and deadlines.
Apply quantitative methods and techniques to manage, analyze, and interpret research data.
Construct, clean, and document large datasets for both internal use and project-specific needs.
Contribute to the design and methodology of research studies.
Assist in the preparation of technical procedures, documentation, and reports.
Review work products to ensure accuracy, clarity, and consistency of content.

Requirements

What you’ll need

A minimum of bachelor’s degree in a quantitative field like Statistics, Economics, Computer Science, Health Policy, Epidemiology, or related field and 3-5 years' quantitative research experience in health policy or a related field. Master’s degree is preferred.
A minimum of 3 years of proven work experience as a Programmer, Data Analyst, or similar developing new code, including merges/joins and macros.
Experience using SAS required. Experience using Python and R strongly preferred.
Expertise cleaning, analyzing, statistical modeling, and reporting using large Medicare, Medicaid, MEPS, or other commercial claims or survey data.
Knowledge of data analysis and data management techniques.
Strong problem solving and troubleshooting skills.

Benefits

Comp & perks

AIR’s Total Rewards Program designed to reward staff competitively and motivate them to achieve our critical mission.