Centene is transforming the health of its communities and needs to analyze integrated and extensive datasets to extract value, reduce overall cost of care for members, and improve their clinical outcomes.
Requirements
- 2+ years of experience working with large databases, data verification, and data management experience.
- 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 in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred.
- Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired.
Responsibilities
- Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data.
- Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers.
- Support the design, testing, and implementation of process enhancements and identify opportunities for automation.
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products.
- Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners.
- Independently engage with customers and business partners to gather requirements and validate results.
- Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required.
Other
- Applicants for this job have the flexibility to work remote from home anywhere in the Continental United States.
- Support execution of large-scale projects with limited direction from leadership.
- Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines.
- Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
- Healthcare analytics experience preferred.
