Data Analyst I Healthcare Analytics

Centene Corporation is transforming the health of communities, seeking a Data Analyst I for Healthcare Analytics. The role involves analyzing extensive datasets to derive 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 customer
• Manage multiple, variable tasks and data review processes under direct supervision within targeted timelines
• Support the design, testing, and implementation of process enhancements and identify opportunities for automation
• Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
• 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
• 0-2 years of experience in working with large databases, data verification, and data management
• Working knowledge of SQL/query languages
• Ability to analyze integrated and extensive datasets to extract value
• Ability to work collaboratively with key business stakeholders
• Ability to identify areas of value, develop solutions, and deliver insights
• Ability to interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data
• Ability to support execution of large-scale projects with limited direction from leadership
• Ability to identify and perform root-cause analysis of data irregularities
• Ability to manage multiple, variable tasks and data review processes under direct supervision within targeted timelines
• Ability to support the design, testing, and implementation of process enhancements
• Ability to communicate findings and insights to non-technical business partners
• 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
• Experience with 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 desired