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WVU Online

Data Analyst

WVU Online

. Support data management, research, program evaluation, and grant reporting across the Institute for Community and Rural Health .

Posted 10/23/2026full-timeUnited StatesJuniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data management, analysis, and reporting, with proficiency in statistical software and data visualization. Capable of developing databases and maintaining quality assurance while ensuring compliance with data handling protocols.

Highest-signal resume keywords
Data ManagementStatistical AnalysisDatabase DevelopmentData VisualizationQuality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data CollectionData CleaningData AnalysisDescriptive StatisticsData DocumentationStatistical SoftwareExcelRPythonSAS
Soft Skills
Organizational SkillsAttention to DetailCommunication Skills
Tools & Technologies
Data DashboardsElectronic Data Collection FormsData DictionariesCodebooks
Industry Keywords
Public HealthEpidemiologyGrant ReportingProgram EvaluationResearch Protocols

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Support data management, research, program evaluation, and grant reporting across the Institute for Community and Rural Health
  • Manage data from collection through analysis, reporting, and archiving
  • Develop and maintain project data management plans
  • 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
  • Coordinate data submissions from project teams and partners
  • Integrate and reconcile data from surveys, program records, clinical partners, and public datasets
  • Conduct quality checks for missing values, duplicate records, inconsistencies, and outliers
  • Prepare and maintain analysis-ready datasets with version tracking and reproducible processing steps
  • Implement appropriate access permissions, secure storage, backups, and recovery procedures with authorized university teams
  • Prepare de-identified datasets and support authorized data sharing
  • Maintain documentation for monitoring, audits, staff transitions, and project closeout
  • Conduct descriptive statistics, trend analyses, and comparisons of program participation, service delivery, costs, reach, and outcomes
  • Support study design, measure selection, and statistical analyses
  • Create dashboards, visualizations, tables, and concise reports
  • Track performance measures and prepare 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, 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
  • Any equivalent combination of related education and/or experience will be considered
  • 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
  • All qualifications must be met by the time of employment

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