Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.
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. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired.

Pay Range:

$70,100.00 - $126,200.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. 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Data Analyst III (Healthcare Analytics)