Data Analyst III Healthcare Analytics

Centene Corporation is transforming the health of communities, serving 28 million members. The Data Analyst III role involves analyzing extensive datasets to provide insights that influence business decisions and improve clinical outcomes for Medicare cost of care analytics.

Responsibilities:

• 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

Requirements:

• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
• Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience
• 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience
• Working knowledge of SQL/querying languages
• Ability to analyze integrated and extensive datasets to extract value
• Ability to work collaboratively with key business stakeholders
• Ability to interpret and analyze data from multiple sources including claims, provider, member, and encounters data
• Ability to develop, maintain, and troubleshoot complex scripts and reports
• Ability to contribute to the planning and execution of large-scale projects
• Ability to assist in the design, testing, and implementation of process enhancements
• Ability to identify and perform root-cause analysis of data irregularities
• Ability to manage multiple, variable tasks and data review processes with limited supervision
• Ability to demonstrate a sense of ownership over projects
• Ability to apply expertise in quantitative analysis, data mining, and the presentation of data
• Ability to partner cross-functionally at all levels of the organization
• Ability to independently engage with customers and business partners to gather requirements
• Ability to communicate and present data-driven insights and recommendations
• Ability to provide technical guidance to junior analysts
• Master's degree
• Healthcare analytics experience
• 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 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
• Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare