Centene is looking to transform the health of its 28 million members by analyzing integrated and extensive datasets to extract value, directly impacting and influencing business decisions to reduce overall cost of care for members and improve their clinical outcomes.
Requirements
- 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 report/dashboard development, data/report automation, self-service capabilities, data design and integration, or data quality and governance preferred.
- 2+ years of experience working with large databases, data verification, and data management experience.
- Healthcare analytics experience preferred.
Responsibilities
- 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 customers.
- Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines.
- 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.
- Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required.
Other
- Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
- 2+ years of experience working with large databases, data verification, and data management experience.
- Must be able to work remote from home anywhere in the Continental United States.
- Complies with all policies and standards.
- Must be eligible to work in the United States.
