Data Analytics Science Analyst 2
| Company | Ohio State University – Columbus |
|---|---|
| Location | Columbus, OH, USA |
| Salary | $75700 – $98900 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Junior, Mid Level |
Requirements
- Bachelor’s degree or equivalent experience in a relevant field (e.g., Economics, Public Administration, Data Science)
- 2 years of relevant experience required in large data analytics projects using government records data in a public policy context
- Training in SQL is a requirement
- Expertise in data analysis, machine learning, and data visualizations using R, Python, and STATA is necessary
- Must have excellent time management skills as well as the ability to multi-task
Responsibilities
- Conduct in-depth data analysis under the supervision of senior researchers and project leads
- Assist in the design of research methodologies and frameworks
- Clean complex datasets, identify and address missing or inconsistent data, standardize data formats and ensure data accuracy
- Conduct preliminary analysis to understand the data and generate summary statistics
- Perform advanced statistical and econometric models
- Create automated reporting processes for large volume tasks
- Conduct literature reviews
- Produce reports, tables, and figures of aggregate statistics
- Provide ad hoc training and instruction
- Actively pursue opportunities to improve operational efficiencies
- Coordinate the recruitment process for interns/program participants
- Facilitate the onboarding process, including orientation sessions
- Develop and update program manuals and documentation
- Organize class and meeting schedules, events, presentations, and other activities
- Communicate program updates, expectations, and important information
Preferred Qualifications
- Master’s degree in a relevant field (e.g., Economics, Public Administration, Data Science)
- 2-4 years of relevant experience preferred
- Experience with SAS, Tableau or Power BI is strongly preferred
- Ability to communicate complex data analyses visually and/or in written text to a general audience
- Excellent verbal and written communication skills
- Commitment to data security and analytic accuracy is essential