Healthcare Analytics Data Analyst III

December 14

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Centene Corporation

WebsiteLinkedInAll Job Openings

Contracting • Network Development • Managed Care

10,000+ employees

Founded 1984

⚕️ Healthcare Insurance

🤝 Non-profit

🌍 Social Impact

Description

• Analyze integrated and extensive datasets to extract value impacting business decisions. • Work collaboratively with key business stakeholders to identify areas of value and develop solutions. • 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 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. • Demonstrate ownership over projects and apply expertise in quantitative analysis, data mining, and data presentation. • Partner cross-functionally and effectively communicate findings to non-technical business partners. • Independently engage with customers to gather requirements and validate results. • Present data-driven insights and recommendations to internal and external stakeholders.

Requirements

• 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.

Benefits

• competitive pay • health insurance • 401K and stock purchase plans • tuition reimbursement • paid time off plus holidays • flexible approach to work with remote, hybrid, field or office work schedules