Data Analyst II Healthcare Analytics

Centene Corporation is transforming the health of communities across the United States. The Data Analyst II is responsible for analyzing extensive datasets to extract value and deliver insights that influence business decisions and improve clinical outcomes for members.

Responsibilities:

• 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

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
• 2+ years of experience working with large databases, data verification, and data management, or 1+ years IT experience
• Working knowledge of SQL/query languages
• 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
• 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