Senior Healthcare Population Health Data Analyst

Marsh McLennan

. Translate complex healthcare data into actionable insights .

Posted 10/6/2026full-timeDallas • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Expertise in healthcare data analysis, particularly in claims-level data and population health metrics, with strong proficiency in SQL, Python, or R for data manipulation. Proven ability to create impactful data visualizations and dashboards while ensuring data quality and accuracy.

Highest-signal resume keywords

Healthcare Data AnalysisSQL ProficiencyData Visualization (Tableau, Power BI)Claims-Level Data ExpertiseStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLPythonRData VisualizationDashboard DevelopmentData Quality AssuranceData GovernanceStatistical AnalysisCohort Analysis

Soft Skills

Detail-OrientedStrong CommunicationCollaborationTime ManagementProblem-Solving

Tools & Technologies

TableauPower BILookerSpringbukCotivitiCedargate

Industry Keywords

Population HealthHealthcare MetricsClaims DataData StandardsClinical Decision-Making

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Translate complex healthcare data into actionable insights
Develop compelling data narratives connecting data findings to business outcomes
Create intuitive, self-service dashboards that drive population health strategy and clinical decision-making
Collaborate with clinical, population health, account management, HR, and finance teams
Analyze medical and pharmacy claims data to identify patterns, anomalies, and opportunities
Apply data governance, coding standards, and clinical implications to claims-based metrics
Present findings to internal and external stakeholders, including clinical leaders, payers, and board members
Respond to urgent ad hoc data requests from leadership and clinical teams
Define, build, and analyze cohorts for clinical, financial, and population health performance
Establish data quality standards, perform validation checks, reconcile data across sources, document limitations, and resolve data issues with engineers and vendors

Requirements

What you’ll need

Bachelor's degree in Mathematics, Statistics, Health Information Management, or related field; equivalent professional experience considered
7+ years of experience in healthcare data analysis, with demonstrated expertise in claims-level data and population health metrics
Proficiency in SQL, Python, or R for data extraction, transformation, and analysis
Experience building dashboards and data visualizations (Tableau, Power BI, Looker, or similar)
Experience with consulting data warehouse platforms (Springbuk, Cotiviti, Cedargate or similar)
Strong written and verbal communication skills; proven ability to present analytical findings to non-technical and clinical audiences
Detail-oriented with demonstrated commitment to data accuracy and quality assurance
Ability to manage multiple priorities, meet tight deadlines, and work independently as well as in collaborative teams
Legal work authorization to work in the U.S. on a permanent and ongoing basis without the need for sponsorship now or in the future.

Benefits

Comp & perks

Generous time off, including personal and volunteering
Tuition reimbursement and professional development opportunities
Flexible hybrid work environment
Charitable contribution match programs
Stock purchase opportunities
Robust benefits programs and resources supporting colleague well-being
Professional and personal development opportunities
Meaningful work