Reporting and Analytics Analyst
The Ohio State University, Main Campus
full-time
Posted on:
Location: Ohio • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Assembly
About the role
- Engage in applied health services and population health research in a project-based, team setting.
- Focus primarily on applied statistical methodology and analysis and reporting of health services and population health data.
- May support survey design, instrumentation, and administration.
- Perform mainly technical skill tasks, and sometimes contribute to project leadership and administration.
- Complete work independently on tasks with moderate complexity while assisting or completing advanced complexity tasks with appropriate assistance and oversight.
- Compute summaries and descriptive statistics; conduct inferential statistical analyses; develop interactive visualizations and dashboards.
- Clean, process, and create analytic datasets from a variety of sources; assist with the development of measures from complex, multidimensional data sources.
- Identify and learn novel and improved practices for data management, analysis, interpretation, and reporting.
- Compose reports, whitepapers, and presentation materials; assist with the presentation of results to project sponsors and other audiences.
- Provide technical assistance for statistical programming, research design, and interpretation of results.
Requirements
- 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 (master’s degree or a PhD) in a relevant field of study is required.
- Requires successful completion of a background check.
- The selected candidate may be asked 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.
- Proficiency in the statistical programming language R as well as experience with evaluation design, survey sampling, causal inference, small area estimation, and/or statistical modelling (additional desired qualifications).
- An advanced degree in statistics, biostatistics, or other relevant fields of study along with experience in applied health services or population health research is preferred.
- Experience with difference-in-difference methods, writing code for reproducible and efficient workflows, including the use of Git for version control, is also preferred.