Hybrid Data Analyst - Health Programs & Evaluation

West Virginia University; Morgantown (WV); Hybrid; USD 65,000 - 85,000; Full time

Benefits offered by this job

37.5-hour work week

13 paid holidays

24 annual leave days

18 sick days

Health insurance options

Retirement match (401a)

Job summary

West Virginia University is seeking a Hybrid Data Analyst to support data management, research, and program evaluation across the Institute for Community and Rural Health. You will manage data from collection through analysis, reporting, and archiving with faculty, program managers, and community partners.

Responsibilities include creating analysis-ready datasets, dashboards, and grant reporting, while ensuring data quality, security, and documentation to inform program improvement and funding

Qualifications

• Bachelor's in a related field; 1+ year in data handling and reporting.
• Experience creating databases, data dictionaries, and QA procedures.
• Experience with data privacy and secure handling policies.

Responsibilities

• Develop and maintain data management plans across projects.
• Build databases, data forms, dictionaries, and SOPs.
• Perform descriptive statistics, analyses, and reporting for stakeholders.
• Create dashboards and visualizations for funders and partners.
• Train staff on data collection tools and secure handling.

Skills

Excel

Statistical software

Data visualization

Data management

SQL

Education

Bachelor's degree in statistics, data analytics, public health, epidemiology, economics, CS

Master's degree (preferred)

Tools

R

Python

REDCap

Power BI

Tableau

GIS

Job description

West Virginia University is seeking a Hybrid Data Analyst to support data management, research, and program evaluation across the Institute for Community and Rural Health. You will manage data from collection through analysis, reporting, and archiving with faculty, program managers, and community partners.

Responsibilities include creating analysis-ready datasets, dashboards, and grant reporting, while ensuring data quality, security, and documentation to inform program improvement and funding