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Senior Reporting and Analytics Analyst – Government Resource Center
The Ohio State University, Main Campus. Engage in applied health services and population health research in a project-based, collaborative setting .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data manipulation and analysis using R, with a focus on creating interactive visualizations and maintaining data pipelines. Proven ability to engage in applied health services research and effectively communicate findings to diverse audiences.
Highest-signal resume keywords
R Computing EnvironmentData ManipulationR-Shiny DevelopmentPopulation Health ResearchData Quality 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 AnalysisStatistical ProgrammingData CleaningDescriptive StatisticsAnalytic Dataset Creation
Soft Skills
CollaborationCommunicationProject Leadership
Tools & Technologies
R-ShinySASSQL
Industry Keywords
Applied Health ServicesPopulation Health ResearchClaims DataEHR Data
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Engage in applied health services and population health research in a project-based, collaborative setting
- Maintain data pipelines in complicated data environments
- Create advanced interactive data dashboards using R-Shiny
- Clean, process, and create analytic datasets from a variety of sources
- Assist with developing measures from complex, multidimensional data sources
- Identify and learn improved practices for data management, analysis, interpretation, and reporting
- Compose reports, whitepapers, and presentation materials
- Assist with presenting results to project sponsors and other audiences
- Compute summaries and descriptive statistics
- Provide technical assistance for statistical programming
- Contribute to project leadership and administration when appropriate
- Complete moderately complex tasks independently and assist with advanced-complexity tasks with appropriate oversight
- Work on 2–4 projects at a time with significant project responsibilities
Requirements
What you’ll need- Bachelor’s degree in a relevant field or equivalent experience is required
- A minimum of 4 years of relevant experience with a bachelor’s degree or 2 years of relevant experience with an advanced degree in a relevant field of study is required
- Experience with the R computing environment for data manipulation and analysis with consideration for team-based code development is required
- Successful completion of a background check required
- May be required to complete a pre-employment physical, including a drug screen
- Candidates selected for an interview may be asked to provide a writing sample and a code sample
- Preferred: Experience developing and maintaining interactive visualizations using R-Shiny
- Preferred: An advanced degree in a relevant field of study
- Preferred: Experience in applied health services or population health research
- Preferred: Experience with data manipulation in SAS or SQL
- Preferred: Experience with Claims or EHR data environments
- Preferred: Experience in data quality assurance
- Preferred: Experience working with external clients and stakeholders
Benefits
Comp & perks- In-person and remote-hybrid work arrangements
- Training, mentorship, and professional development opportunities
- Family-friendly workplace
- First Shift schedule
- 40 scheduled hours