R Shiny Analytics & Dashboards Analyst

Ohio State University

Columbus (OH)

Hybrid

USD 65,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Remote-hybrid work arrangements
Family-friendly workplace

Job summary

The Ohio State University Health Sciences | Government Resource Center invites applications for a Reporting and Analytics Analyst. The role focuses on building advanced interactive dashboards with R-Shiny, cleaning and analyzing large health datasets, and presenting insights to the team.

Ideal candidates have 2+ years of relevant experience, a Bachelor's degree in a related field, and familiarity with health services or population health research.

Qualifications

  • Bachelor’s degree in a relevant field or equivalent is required.
  • Minimum of 2 years of relevant experience or an advanced degree in a relevant field of study.
  • Background check is required prior to employment.
  • Demonstrated experience with the R statistical computing environment for data manipulation and analysis.
  • Experience developing and maintaining interactive visualizations using R-Shiny.
  • Experience with handling large datasets and data cleaning.

Responsibilities

  • Create and maintain advanced interactive data visualizations (dashboards) using R-Shiny within a team development context.
  • Clean, manipulate, and analyze large datasets for population health projects.
  • Work with Medicaid claims or population health survey data for analysis and reporting.
  • Prepare reports, whitepapers, and presentation materials.
  • Present results to team members and other audiences; review subcontractor outputs.

Skills

R
Data manipulation
Data analysis
Dashboard development

Education

Bachelor's degree in a relevant field
Advanced degree in a relevant field

Tools

R-Shiny

Job description

The Ohio State University Health Sciences | Government Resource Center invites applications for a Reporting and Analytics Analyst. The role focuses on building advanced interactive dashboards with R-Shiny, cleaning and analyzing large health datasets, and presenting insights to the team.

Ideal candidates have 2+ years of relevant experience, a Bachelor's degree in a related field, and familiarity with health services or population health research.

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