Data Analyst III Medical Economics

Remote

Fully Remote - CST/EST preferred but not required, if in CA must start around 6a PST

MO, US

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
  
  

Education/Experience:

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.

Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired.

Recruiter Submission Template -

Full Name:

Degree Major with University and Completion Year:

Years of Healthcare / Managed Care Analytics Experience:

Years of Medical Economics Experience:

Years Working with Large Databases / Data Management:

Please describe the candidate's experience in the following areas:

• Medicare Analytics:
• Medicaid Analytics:
• Marketplace Analytics:
• Medical Economics / Cost of Care Analysis:
• Actuarial or Actuarial-Adjacent Experience (if any):
• Consulting Experience in Managed Care / Medical Economics (if any):
  
  

Experience evaluating QAI (Quality & Affordability Initiatives):

Experience working with MLR targets & KPIs:

Root-cause analysis & trend analysis experience:

Financial modeling / sizing experience:

Please explain all employment gaps on the candidates resume.

Has this candidate applied for a position with Centene in the past 6 months?

When would this candidate be available to start a new role?

Motivation / Reason for interest in this position:

Contact Number:

Email ID:

LinkedIn Profile URL:

Full Address (Street, City, State, Zip Code):

Notice Period (in weeks):

Current Work Authorization Status:

Expected Salary: