Data Analyst III – Healthcare Analytics

Centene Corporation

Data Analyst analyzing extensive datasets to improve clinical outcomes for healthcare members. Collaborating with stakeholders to present insights and develop solutions.

Posted 7/31/2026full-timeRemote • Montana • 🇺🇸 United StatesMid-LevelSenior💰 $70,100 - $126,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, SQL, and statistical techniques to drive insights and improve clinical outcomes. Capable of managing complex projects, collaborating with stakeholders, and communicating findings effectively to both technical and non-technical audiences.

Highest-signal resume keywords

SQL QueryingData AnalysisStatistical TechniquesProject ManagementBusiness Intelligence Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningRoot-Cause AnalysisTrend AnalysisData ModelingData VerificationData ManagementQuantitative AnalysisProcess EnhancementAutomationComplex Script Development

Soft Skills

CollaborationCommunicationProblem-SolvingOwnershipAdaptability

Tools & Technologies

Microsoft ExcelMicrosoft PowerBIPythonRAnalytics Tools

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
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

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
4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience
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

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