Data Analyst III
@ Centene Corporation

Hybrid
$100,000
Hybrid
Full Time
Posted 20 hours ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX***** @centene.com
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Job Details

Position Overview

Centene Corporation is looking for a Data Analyst III who will be responsible for the analytic data needs of the business unit. You will lead complex data projects and mentor other Data Analysts. The role involves designing, extracting, loading, modeling, and reconciling large datasets from various sources.

Key Responsibilities

  • Provide advanced analytical support across claims, provider, member, clinical and pharmacy data.
  • Develop reports and deliverables for management.
  • Model data using MS Excel, Access, SQL, and other analytical tools.
  • Ensure compliance with federal and state reporting requirements through data quality audits and analysis.
  • Train and mentor other Data Analysts.
  • Perform additional duties as assigned.

Desired Experience & Skills

Applicants should have a bachelor’s degree or equivalent experience and at least 4 years of statistical or data analysis experience, or 2-4 years specific to HEDIS data analysis. Expertise in Power BI is required and familiarity with AI in Data Analysis is preferred.

Benefits & Work Arrangements

Centene offers competitive pay, health insurance, 401K, tuition reimbursement, paid time off plus holidays, and flexible work options including remote, hybrid, and on-site arrangements.

Key skills/competency

  • Data Analysis
  • Power BI
  • SQL
  • Excel
  • Access
  • HEDIS
  • Reporting
  • Data Quality
  • Mentoring
  • Healthcare

How to Get Hired at Centene Corporation

🎯 Tips for Getting Hired

  • Research Centene's culture: Understand their mission and values.
  • Tailor your resume: Highlight data analysis and Power BI skills.
  • Prepare skill examples: Be ready to discuss SQL and Excel projects.
  • Practice interview scenarios: Focus on data challenges and compliance details.

📝 Interview Preparation Advice

Technical Preparation

Review SQL querying techniques.
Practice data modeling in Excel and Access.
Enhance skills in Power BI dashboard design.
Study data reconciliation methods.

Behavioral Questions

Describe a challenging project experience.
Explain your mentoring approach briefly.
Discuss handling tight deadlines.
Illustrate decision-making under pressure.

Frequently Asked Questions