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Data Analyst
WVU Online. Develop and maintain project data management plans covering collection, storage, access, quality assurance, sharing, retention, and archiving .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management, including collection, storage, analysis, and reporting of quantitative data. Proficient in statistical software and data visualization tools, with strong organizational skills to manage multiple projects effectively.
Highest-signal resume keywords
Data ManagementStatistical AnalysisDatabase DevelopmentData VisualizationQuality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CollectionData CleaningData AnalysisDescriptive StatisticsData DocumentationData Quality AssuranceStatistical SoftwareExcelRPython
Soft Skills
Organizational SkillsAttention to DetailCommunication Skills
Tools & Technologies
SQLREDCapPower BITableauGISSASStata
Industry Keywords
Public Health ResearchProgram EvaluationGrant-Funded InitiativesLongitudinal DatasetsSensitive Health Information
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Develop and maintain project data management plans covering collection, storage, access, quality assurance, sharing, retention, and archiving
- Build and maintain databases, electronic data collection forms, data dictionaries, codebooks, and standard operating procedures
- Establish consistent variable definitions, naming conventions, participant and site identifiers, and file organization across projects
- Coordinate data submissions from project teams and partners, including schedules, required formats, secure transfers, and correction of incomplete records
- Integrate and reconcile data from surveys, program records, clinical partners, and public datasets while documenting sources and transformations
- Conduct routine quality checks for missing values, duplicate records, inconsistencies, and outliers; maintain issue-resolution records
- Prepare and maintain analysis-ready datasets, track versions, preserve source data, and document reproducible processing steps
- Coordinate access permissions, secure storage, backups, and recovery procedures with authorized university teams
- Prepare de-identified datasets and support authorized data sharing consistent with approved protocols and data-use agreements
- Maintain documentation for monitoring, audits, staff transitions, and project closeout
- Conduct descriptive statistics, trend analyses, and comparisons of participation, service delivery, costs, reach, and outcomes
- Support study design, measure selection, and statistical analyses with faculty investigators and evaluation leads
- Create dashboards, visualizations, tables, and concise reports for faculty, program managers, funders, and community partners
- Track performance measures and prepare accurate, timely data summaries for grant reporting and project reviews
- Interpret findings with project teams, explaining limitations and implications for program improvement
- Contribute analytical methods, tables, and findings to manuscripts, presentations, and funding proposals
- Establish data requirements, responsibilities, and reporting timelines with faculty and program managers
- Train staff, students, and partners on data collection tools, entry procedures, quality standards, and secure handling
- Follow university requirements, approved research protocols, data-use agreements, and privacy and security procedures
Requirements
What you’ll need- Bachelor’s degree in statistics, data analytics, public health, epidemiology, economics, computer science, or a related field
- Minimum of one (1) year of experience collecting, managing, cleaning, analyzing, and reporting quantitative data
- Minimum of one (1) year of experience developing or maintaining databases, data documentation, and quality assurance procedures
- Proficiency in Excel and at least one analytical programming or statistical software package, such as R, Python, SAS, or Stata
- Understanding of descriptive statistics, data visualization, and secure data handling
- Ability to explain findings clearly to technical and nontechnical audiences
- Strong organizational skills, attention to detail, and ability to manage deadlines across multiple projects
- Any equivalent combination of related education and/or experience will be considered
- Preferred: Master’s degree in a relevant field
- Preferred: Experience with public health research, program evaluation, rural health, or grant-funded initiatives
- Preferred: Experience with SQL, REDCap, Power BI, Tableau, or GIS
- Preferred: Familiarity with relational databases, automated data processing, and version control
- Preferred: Experience managing longitudinal or multisite datasets and working with sensitive health or participant information
- Preferred: Experience supporting research manuscripts, funding proposals, or funder reports
Benefits
Comp & perks- 37.5-hour work week
- 13 paid holidays
- 24 annual leave (vacation) days per year
- 18 sick days per year
- Health insurance and other benefits
- 401(a) retirement savings with 6% employee contribution match
- Eligibility to continue health insurance and other retiree perks
- Wellness programs