Centene is transforming the health of its communities and needs to extract value from extensive datasets to influence business decisions, 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 Power BI.
- 4+ years of experience working with large databases, data verification, and data management.
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
- Applicants for this job have the flexibility to work remote from home anywhere in the Continental United States.
- 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.
