Research Data Analyst for Aging & Economic Security

AARP; Washington (District of Columbia); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

401(k)

Pension plan

Health insurance

Paid time off

Tuition reimbursement

Job summary

AARP Foundation in Washington, DC is seeking a Research Analyst to join a team advancing aging and economic security through data-driven insights. You will collect, analyze, and visualize data and translate findings into accessible outputs for diverse audiences.

You will coordinate cross-functional projects, support development of research tools, and help integrate results into program design. A bachelor’s degree and hands-on experience with R, Python, or similar tools are preferred.

Qualifications

• Bachelor's degree in a quantitative field with experience applying research methods.
• Two+ years of quantitative analysis, data visualization, and statistical modeling with listed tools.
• Experience in acquiring, cleaning, and integrating data from multiple sources.

Responsibilities

• Conduct analyses of internal and external datasets to answer research questions.
• Support development of tools and processes for quantitative and qualitative research.
• Describe and explain data analyses to non-technical audiences in clear verbal, written, and visual forms.
• Execute visualization of research data and findings and support sharing with internal/external audiences.
• Create and maintain a compendium of essential research and data related to the organization’s targets.
• Support integration of research results into program development and evaluation.

Skills

Quantitative analysis

Data visualization

Statistical modeling

Data cleaning

Communication

Project management

Education

Bachelor's degree in data science, economics, public policy, statistics, sociology, demography

Tools

R

Python

Stata

SPSS

APIs

Job description

AARP Foundation in Washington, DC is seeking a Research Analyst to join a team advancing aging and economic security through data-driven insights. You will collect, analyze, and visualize data and translate findings into accessible outputs for diverse audiences.

You will coordinate cross-functional projects, support development of research tools, and help integrate results into program design. A bachelor’s degree and hands-on experience with R, Python, or similar tools are preferred.