Evaluation and Data Analyst (Social Sciences and Public Health)

JBS International•North Bethesda, MD

21h•Hybrid

About The Position

We are seeking an Evaluation and Data Analyst, Research Assistant III, to support research and evaluation projects focused on national service, public health, and other mission-driven initiatives. This position supports data collection activities, prepares and organizes datasets, assists with data analysis, develops visualizations and reports, and contributes to high-quality client deliverables. This position is well suited for candidates with strong analytical skills, attention to detail, and an interest in applied research and program evaluation.

Requirements

Bachelor’s Degree in Economics, Sociology, Community Psychology, Statistics, Social Sciences, Statistics or a similar field
2 years of experience comprising of 1 year of focus research experience conducting quantitative survey research
Microsoft Office (Excel, Outlook, PowerPoint, MS Access)
Experience with SAS, R, or other statistical packages
Experience with Python and SQL
Familiarity with survey platforms (e.g., Alchemer, Qualtrics, SurveyMonkey).
Understand data management and quantitative research methods.
Problem solving, analysis, communication, and teamwork skills
Excellent organization and time management skills
Ability to write clearly and concise copy with attention to detail and target audience focus
Ability to communicate effectively
Ability to work independently or work collaboratively with a team
English fluency (oral and written)

Responsibilities

Support survey administration and participant tracking activities.
Assist with developing and testing online surveys and data collection tools.
Help monitor response rates and data collection progress.
Organize and maintain study documentation, data dictionaries, and tracking files.
Assist with participant recruitment and communications as needed.
Clean, organize, and prepare datasets for analysis.
Conduct routine data quality checks and identify inconsistencies.
Merge, format, label, and archive datasets according to project protocols.
Maintain documentation of data processing activities.
Conduct descriptive statistical analyses under guidance from senior staff.
Support quantitative analyses using statistical software such as SAS, R, Python, or Stata.
Create tables, charts, dashboards, and other visualizations in Excel and Power BI to communicate findings.
Assist with interpretation of results and preparation of analytic summaries.
Conduct literature reviews and summarize research findings.
Assist in preparing reports, presentations, briefs, and client-ready materials.
Compile data, references, and supporting materials for project deliverables.
Review documents for accuracy, consistency, and formatting.