Centene is transforming the health of its 28 million members by analyzing integrated and extensive datasets to extract value, which directly impacts and influences business decisions. The goal is to reduce the overall cost of care for members and improve their clinical outcomes.
Requirements
- Working knowledge of SQL/querying 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 including Microsoft PowerBI.
- Experience with analyzing quality data related to HEDIS and Stars measures and working closely with quality managers in reviewing trends and identifying opportunities for improvement is highly preferred.
- 4+ years of experience working with large databases, data verification, and data management.
- Healthcare analytics experience preferred.
Responsibilities
- Interpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trends
- Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools
- Contribute to the planning and execution of large-scale projects with limited direction from leadership
- Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation
- Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers
- Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment
- 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
Other
- Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks
- Partner cross-functionally at all 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
- Provide technical guidance to junior analysts
