Ohio State University

Ohio State University

Reporting and Analytics Analyst

Columbus Campus, USA

Sponsorship not specifiedDetected 3 days ago
Data AnalysisData VisualizationHRISPublic HealthResearchLeadershipMentoring

About the role

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  • For assistance with applying, please contact hr-accessibleapplication@osu.edu.

Responsibilities

  • Our philosophy is to provide staff with the training, mentorship and professional development opportunities needed to meet their professional goals, and to proactively develop GRC's future leadership within the organization.
  • Reporting and Analytics Analysts are expected to perform mainly technical skill tasks.

Requirements

  • A minimum of 2 years of relevant experience or an advanced degree in a relevant field of study.
  • Successful completion of a background check is required.
  • If you have questions while submitting an application, please review these frequently asked questions.
  • You can review the additional job description section on postings for documents that may be required.
  • Bachelor's degree in a relevant field or equivalent is required.
  • Experience with R-Shiny is preferred.

Nice to have

  • Demonstrable experience with the R statistical computing environment for data manipulation and analysis with consideration for team-based code development.
  • 3-4 years of relevant experience.
  • An advanced degree in a relevant field of study.
  • Additional Information:
  • See more about GRC's project work here: https://grc.osu.edu/Projects
  • Pressey Hall (0309)
  • Scheduled Hours:
  • Final candidates are subject to successful completion of a background check.

Benefits

  • Health Sciences | Government Resource Center
  • A successful applicant may engage in applied health services, quality improvement and/or population health research in a project-based team setting.

Equal opportunity

  • The university is an equal opportunity employer, including veterans and disability.

This listing is sourced directly from Ohio State University's careers page and normalized into a canonical job model.