Data Analyst I Medical Economics
| Company | Centene |
|---|---|
| Location | Missouri, USA, Michigan, USA |
| Salary | $55100 – $99000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience
- 0-2 years of experience in working with large databases, data verification, and data management
- Working knowledge of SQL/query languages
- Preferred knowledge of programmatic coding languages such as Python and R
- Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred
- Preferred knowledge of modern business intelligence and visualization tools
- Experience with emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation
- Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired
Responsibilities
- Analyze integrated and extensive datasets to extract value
- Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data
- Support execution of large-scale projects with limited direction from leadership
- Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customer
- Manage multiple, variable tasks and data review processes under direct supervision within targeted timelines
- Support the design, testing, and implementation of process enhancements and identify opportunities for automation
- Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
- Perform other duties as assigned
- Comply with all policies and standards
Preferred Qualifications
- Preferred knowledge of programmatic coding languages such as Python and R
- Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred
- Preferred knowledge of modern business intelligence and visualization tools
- Experience with emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation
- Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired