Senior Healthcare Population Health Data Analyst

Marsh McLennan

. Translate complex healthcare data into actionable insights for population health strategy and clinical decision-making .

Posted 9/17/2026full-timeAtlanta • 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 develop dashboards and data visualizations using tools like Tableau and Power BI, while ensuring data quality and accuracy.

Highest-signal resume keywords

Healthcare Data AnalysisSQL ProficiencyDashboard DevelopmentData VisualizationPopulation Health Metrics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisClaims-Level Data ExpertiseSQLPythonRDashboard BuildingData VisualizationData GovernanceStatistical AnalysisData Quality Assurance

Soft Skills

Strong Communication SkillsDetail-OrientedAbility to Manage Multiple PrioritiesCollaborative Work StyleIndependent Work Capability

Tools & Technologies

TableauPower BILookerSpringbukCotivitiCedargate

Industry Keywords

Population Health StrategyClinical Decision-MakingKPI TrackingData NarrativesMedical Claims DataPharmacy Claims DataData ValidationData Sources ReconciliationHealthcare ConsultingEmployer Plan Optimization

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Translate complex healthcare data into actionable insights for population health strategy and clinical decision-making
Develop compelling data narratives connecting findings to business outcomes and actionable recommendations
Collaborate with clinical, population health, account management, HR, and finance teams on employer plan optimization
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
Design and build maintainable, performant self-service dashboards for KPI tracking, trend monitoring, and detailed analysis
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 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 using Tableau, Power BI, Looker, or similar
Experience with consulting data warehouse platforms such as Springbuk, Cotiviti, Cedargate, or similar
Strong written and verbal communication skills; ability to present analytical findings to non-technical and clinical audiences
Detail-oriented with commitment to data accuracy and quality assurance
Ability to manage multiple priorities, meet tight deadlines, and work independently and collaboratively
Legal work authorization to work in the U.S. on a permanent and ongoing basis without 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