FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Lead Specialist – US Health Benefits Analytics
Marsh McLennan. Own the end-to-end analytical workflow for a portfolio of client accounts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytical workflows, data reporting, and health benefits landscape, with a strong focus on translating complex data into actionable insights. Proficient in utilizing analytics tools and methodologies to support client needs and drive decision-making.
Highest-signal resume keywords
Microsoft Excel ProficiencyData Warehouse ExperienceHealth Analytics Tools FamiliarityUnderstanding of PMPM and Trend RateAnalytical Ownership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQLData QueryingReport GenerationData ValidationTrend AnalysisCost BenchmarkingUtilization DecompositionData Pattern IdentificationMedical Claims Data Understanding
Soft Skills
Proactive CommunicationCoaching MindsetAdaptable CommunicationProblem-Solving SkillsRelationship Skills
Tools & Technologies
ArtemisMerativeHDMSTruvenBI Platforms
Industry Keywords
US Health Benefits LandscapeSelf-Insured PlansFully-Insured PlansTPA/PBM EcosystemCost Intervention Strategies
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Own the end-to-end analytical workflow for a portfolio of client accounts
- Run standard and custom reports across medical, pharmacy, and eligibility data
- Build PMPM, trend, and benchmark analyses
- Support Executive Summary, Financial Overview, and High-Cost Claimant reports
- Perform condition-level drill-downs to identify cost drivers
- Conduct utilization versus unit cost decomposition
- Translate analytics output into structured narratives for consultant review
- Identify population-level trends, including chronic condition prevalence, high-cost claimant patterns, and specialty pharmacy utilization
- Flag anomalies and escalate data quality issues
- Support benchmarking against the broader book of business by industry, region, and employer size
- Prepare data packages and slide-ready analytics outputs for client presentations
- Respond to ad hoc data requests from the consulting team
- Collaborate with Data Operations on data scope, coverage dates, and account limitations
- Maintain account-level documentation, including data source inventories, report run logs, and analysis notes
- Mentor junior analysts and serve as a primary analytics partner to consulting leads
Requirements
What you’ll need- Proficiency in Microsoft Excel, including pivot tables, VLOOKUP/XLOOKUP, data validation, and charting
- Ability to work with large, structured datasets and identify patterns across multiple data dimensions
- Data warehouse experience such as Artemis, Merative, HDMS, or Truven preferred
- Basic SQL or data querying ability preferred but not mandatory
- Familiarity with analytics or BI platforms; health analytics tools are an advantage
- Strong command of the US health benefits landscape, including self-insured vs. fully-insured plans, stop-loss, and the TPA/PBM ecosystem
- Basic understanding of medical and pharmacy claims data structure and adjudication logic
- Understanding of PMPM, PEPM, trend rate, utilization vs. unit cost decomposition, and episode cost benchmarking
- Awareness of employer cost intervention strategies such as point solutions, COE programs, disease management, and Rx formulary strategy
- Analytical ownership and responsibility for output accuracy and completeness
- Proactive communication and early issue escalation
- Consultative thinking connecting analytical findings to business implications and action
- Coaching mindset
- Adaptable communication, facilitation, influencing, and problem-solving skills
- High attention to detail
- Good relationship skills
- Ability to work independently and in a team
- Ability to multitask and prioritize time effectively