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Centene Corporation

Data Analyst I – Healthcare Analytics

Centene Corporation

Data Analyst I at Centene analyzing healthcare datasets to support cost reduction and clinical improvement. Collaborate with stakeholders and provide insights from extensive data analysis.

Posted 7/24/2026full-timeRemote • Missouri • 🇺🇸 United StatesJunior💰 $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 and interpretation, utilizing SQL and programming languages like Python and R to drive insights that enhance clinical outcomes and reduce costs. Proficient in statistical techniques and business intelligence tools to support decision-making across healthcare operations.

Highest-signal resume keywords
Data AnalysisSQL/Query LanguagesPython ProgrammingStatistical TechniquesBusiness Intelligence Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ManagementData VerificationRoot-Cause AnalysisTrend AnalysisData ModelingFinancial ModelingClaims PricingContract/Network AnalysisROI EvaluationAutomation Opportunities
Soft Skills
CollaborationCommunicationProblem-SolvingTime Management
Tools & Technologies
Business Intelligence ToolsVisualization Tools
Industry Keywords
Healthcare AdministrationHealth InformaticsUtilization ManagementClaims PaymentRisk Adjustment

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 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.

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.
  • 0-2 years of experience in working with large databases, data verification, and data management.
  • 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.
  • 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.

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