Centene Corporation is looking to analyze integrated and extensive datasets to extract valuable insights that influence business decisions, aiming to reduce overall healthcare costs and enhance clinical outcomes for members.
Requirements
- Minimum of 2+ years of experience working with large databases, data verification, and data management
- Proficiency in SQL or query languages
- Knowledge of programming languages such as Python and R is preferred
- Familiarity with statistical, analytical, or data mining techniques, including data modeling, trend analysis, and root-cause analysis
- Experience with business intelligence and visualization tools
- Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, or ROI evaluation is a plus
- Understanding of claims payment processes, utilization management, provider/vendor contracts, and risk adjustment for government-sponsored healthcare programs is advantageous
Responsibilities
- Analyze integrated datasets from multiple sources to extract meaningful insights that support business objectives
- Develop analytical solutions to improve clinical outcomes and reduce costs
- Interpret data from healthcare providers, members, third-party data, and other sources to support decision-making processes
- Perform root-cause analysis of data irregularities and present findings along with recommended solutions to leadership and stakeholders
- Manage multiple data review processes and tasks within targeted timelines, maintaining accuracy and efficiency
- Assist in designing, testing, and implementing process enhancements, including automation opportunities
- Apply quantitative analysis, data mining, and visualization techniques to uncover trends and insights beyond raw numbers
Other
- Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or related field, or equivalent experience
- At least 1+ years of IT experience preferred
- Healthcare analytics experience is highly desirable
- Communicate complex data findings effectively to both technical and non-technical audiences through verbal and visual presentations
- Engage with customers and business partners independently to gather requirements and validate analytical results
