Centene Corporation provides high-quality healthcare services to members in all 50 states. Since its founding in 1984, Centene has worked to transform the health of communities, one person at a time. Centene is the largest Medicaid managed care organization in the country and provides a portfolio of services to government sponsored healthcare programs.

Centene believes that healthcare is best delivered locally. Our local health plans offer a range of health insurance solutions with a focus on providing accessible care to uninsured and under-insured individuals. Many receive benefits provided under Medicaid, including the State Children's Health Insurance Program (CHIP), as well as Aged, Blind or Disabled (ABD), Foster Care and Long Term Care (LTC), in addition to other state-sponsored/hybrid programs, and Medicare (Special Needs Plans). Centene also contracts with other healthcare and commercial organizations to provide specialty services including behavioral health management, care management software, dental benefits management, in-home health services, life and health management, managed vision, pharmacy benefits management, specialty pharmacy and telehealth services.

Centene’s hiring practices reflect the composition of the members and communities we serve, allowing us to deliver quality, culturally sensitive healthcare to millions of members. Centene employees help change the world of healthcare and transform our communities. To learn more about career opportunities with Centene, visit: https://jobs.centene.com/

Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes.

• 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
• Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks
• 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
• 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

Education/Experience: Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred. 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience. Healthcare analytics experience preferred. 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.