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Centene Corporation

Data Analyst II – Healthcare Analytics

Centene Corporation

Data Analyst analyzing integrated healthcare datasets to support business decisions and improve clinical outcomes at Centene. Collaborating with stakeholders to deliver insights and solutions for cost reduction.

Posted 7/21/2026full-timeRemote • Arizona, Florida, Montana, North Carolina, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $56,200 - $101,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, quantitative analysis, and healthcare analytics, with a strong ability to communicate insights effectively to both technical and non-technical stakeholders. Proficient in SQL, Python, and R, with experience in data management and process enhancement.

Highest-signal resume keywords
Healthcare Analytics ExperienceSQL/Query LanguagesData Mining TechniquesQuantitative AnalysisBusiness Intelligence Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData ManagementRoot-Cause AnalysisTrend AnalysisData ModelingQuantitative AnalysisData VerificationStatistical TechniquesProcess EnhancementAutomation Opportunities
Soft Skills
CollaborationCommunicationProblem-SolvingCustomer EngagementPresentation Skills
Tools & Technologies
Business Intelligence ToolsVisualization ToolsPythonR
Industry Keywords
Healthcare AdministrationHealth InformaticsPublic HealthEconomicsStatistics

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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 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

Requirements

What you’ll need
  • 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
  • Healthcare analytics experience preferred
  • Working knowledge of SQL/query 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

Benefits

Comp & perks
  • competitive pay
  • health insurance
  • 401K and stock purchase plans
  • tuition reimbursement
  • paid time off plus holidays
  • flexible approach to work with remote, hybrid, field or office work schedules