Senior Healthcare Population Health Data Analyst
Dallas, Texas, United States of America
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
Read the full posting
What you’ll work on
Full postingAnalyze medical and pharmacy claims data to find patterns, anomalies and opportunities
Build self-service dashboards tracking KPIs and trends
Define and analyze healthcare cohorts and benchmark their metrics
Present findings and recommendations to clinical leaders, payers and board members
Validate data, reconcile sources and enforce data quality standards
From the employer’s posting
Leverage deep working knowledge of medical and pharmacy claims-level data to identify patterns, anomalies, and opportunities.
Design and build self-service dashboards that enable stakeholders to track KPIs, monitor trends, and drill into details independently.
Define, build, and analyze cohorts to assess clinical, financial, and population health performance.
Present findings to internal and external stakeholders, including clinical leaders, payers, and board members.
Perform validation checks, reconcile data across sources, document known limitations
Tools in this posting
- Python
- R
- SQL
- Databricks
- Looker
- Power BI
- Snowflake
- Tableau
Source — Tool mentions in context
- 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)
- Knowledge of HEDIS, STARS, or other quality and performance metrics - Experience with healthcare data platforms (e.g., Databricks, Snowflake) or EHR systems - Track record of leading or mentoring junior analysts
- 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)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 17, 2026 · 38 days ago
- Recorded sightings
- 114
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
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- Ask the employer about the pay range before committing time to the process.
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Job description
Senior Population Health Data Analyst
Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. The industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Senior Population Health Data Analyst at MMA.
Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh (NYSE: MRSH).
The Planning & Analytics for Total Health (PATH) team at Marsh McLennan Agency combines real-time data insights with clinical expertise to drive informed decision-making in healthcare. By transforming employee benefits data into actionable, prescriptive strategies, PATH helps you enhance plan performance, control costs, and promote healthier workforces. We gather and integrate data on employee demographics, compensation, benefits enrollment, claims history, and survey feedback into a centralized system, providing a comprehensive view of your workforce. This holistic analysis enables us to identify opportunities to optimize benefits—such as eliminating underused programs, boosting engagement, and addressing specific employee needs—ensuring you maximize the value of your benefits investment.
A day in the life.
We are seeking a Senior Population Health Data Analyst to join our Planning & Analytics for Total Health team. In this role, you will translate complex healthcare data into actionable insights, develop compelling data narratives, and create intuitive dashboards that drive population health strategy and clinical decision-making. You will collaborate across clinical, population health, account management, HR, and finance teams to deliver data-driven insights and recommendations for employer plan optimization.
Some additional responsibilities include:
- Medical and Pharmacy Claims Data Analysis
Leverage deep working knowledge of medical and pharmacy claims-level data to identify patterns, anomalies, and opportunities. Understand data governance, coding standards, and the clinical implications of claims-based metrics.
- Data Storytelling & Narrative Development
Synthesize complex datasets into clear, compelling narratives that connect data findings to business outcomes. Articulate 'so what' and 'now what' for each analysis, ensuring insights lead to actionable recommendations.
- Client-Facing Presentations
Present findings to internal and external stakeholders, including clinical leaders, payers, and board members. Tailor presentations to audience sophistication, communicate uncertainty appropriately, and respond to challenging questions with confidence and clarity.
- Dashboard Development & Visualization
Design and build self-service dashboards that enable stakeholders to track KPIs, monitor trends, and drill into details independently. Choose appropriate visualizations and ensure dashboards are maintainable, performant, and aligned with business logic.
- Ad Hoc Queries and Analysis Requests
Respond rapidly to urgent data requests from leadership and clinical teams. Prioritize competing demands, validate assumptions with requestors, and deliver accurate, timely answers with appropriate caveats and context.
- Cohort Analysis & Segmentation
Define, build, and analyze cohorts to assess clinical, financial, and population health performance. Apply clinical knowledge to cohort logic, incorporate evolving inclusion/exclusion criteria, and benchmark cohort metrics against peers and historical trends.
- Data Quality Assurance & Validation
Establish and enforce rigorous data quality standards. Perform validation checks, reconcile data across sources, document known limitations, and work with data engineers and vendors to resolve data issues and improve data integrity over time.
Our future colleague.
We’d love to meet you if your professional track record includes these skills:
- 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.
These additional qualifications are a plus, but not required to apply:
- Master's degree in a quantitative or healthcare-related discipline
- Experience with integrated delivery networks, health plans, or consulting firms serving healthcare clients
- Familiarity with ICD-10, CPT, and other clinical coding standards
- Knowledge of HEDIS, STARS, or other quality and performance metrics
- Experience with healthcare data platforms (e.g., Databricks, Snowflake) or EHR systems
- Track record of leading or mentoring junior analysts
We know there are excellent candidates who might not check all these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.
Valuable benefits.
We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work.
Some benefits included in this role are:
- Generous time off, including personal and volunteering
- Tuition reimbursement and professional development opportunities
- Flexible hybrid work environment
- Charitable contribution match programs
- Stock purchase opportunities
To learn more about a career at MMA, check us out our website or flip through recruiting brochure.
Follow us on social media to meet our colleagues and see what makes us tick:
Who you are is who we are.
We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com
#MMAEHB
#LI-Hybrid
#MMAMID
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, Texas, United States of America
- Tuition reimbursement and professional development opportunities - Flexible hybrid work environment - Charitable contribution match programs
More source context
#MMAEHB #LI-Hybrid #MMAMID
- Work authorization
- 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. These additional qualifications are a plus, but not required to apply:
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