Centene Corporation is a leading healthcare enterprise committed to helping people live healthier lives. Centene offers affordable and high-quality products to more than 1 in 15 individuals across the nation, including Medicaid and Medicare members (including Medicare Prescription Drug Plans) as well as individuals and families served by the Health Insurance Marketplace.

Centene believes healthcare is best delivered locally. Our local health plans provide fully integrated, high-quality, and cost-effective services to government-sponsored and commercial healthcare programs, focusing on under-insured and uninsured individuals.

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

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

Performs other duties as assigned

Complies with all policies and standards

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, or 1+ years IT experience. Healthcare analytics experience preferred. 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 provider contracting, claims pricing, financial reporting/analysis, data modeling, statistical modeling, data science, or geospatial/reimbursement analysis preferred.