Healthcare Data Analyst Jobs
Healthcare Data Analyst jobs are open across hospital systems, health insurance, pharmaceutical companies, and public health agencies, at every level from entry-level to senior and lead, with specializations in clinical analytics, population health, and revenue cycle analysis. Find a role that fits from the openings below and apply directly.
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Company:
Marsh McLennan AgencyDescription:
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:
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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
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Healthcare Data Analyst Jobs by Experience Level
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Find Healthcare Data Analyst JobsHealthcare Data Analyst Job Market
Who's Hiring



Top Industries Hiring
- Staffing & Recruiting
- Education
- Distribution & Wholesale
- Healthcare & Medical Services
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in healthcare data analyst jobs.
- Proficiency in SQL for querying relational databases and clinical data warehouses
- Experience with data visualization tools such as Tableau, Power BI, or Qlik
- Familiarity with EHR systems including Epic, Cerner, or Meditech
- Bachelor's degree in health informatics, statistics, computer science, or a related field
- Knowledge of healthcare terminology, ICD-10 coding, and claims data structures
- Experience with Python or R for data manipulation and statistical analysis
Tips for Your Healthcare Data Analyst Job Search
Tailor your resume to the data stack
Healthcare data analyst job listings almost always name specific tools like SQL, Python, Tableau, or Epic. Mirror the exact tool names from each posting in your resume skills section so automated screening systems flag your application as a match.
Highlight HIPAA and data governance experience
Many hiring managers filter for candidates who understand protected health information handling. Call out any experience working with de-identified datasets, HIPAA-compliant pipelines, or audit-ready reporting processes directly in your work history bullets.
Build a portfolio around a clinical or claims dataset
Generic data projects won't differentiate you. Use a publicly available claims or public health dataset to build one end-to-end project showing data cleaning, analysis, and a dashboard. Link it in your resume so recruiters see domain-specific work immediately.
Apply early to roles that fit
Migrate Mate lists healthcare data analyst openings from across the United States in one place, so you can find roles that match your skills and apply directly to each listing.
Filter by EHR platform to narrow your search
Roles tied to Epic, Cerner, or Meditech require different technical fluency. Search for openings that match the EHR platform you know best so your application speaks directly to what the team uses day to day.
Prepare a SQL or analytics walkthrough for interviews
Technical interviews for healthcare data analyst roles frequently include a live SQL query, a case study on a hospital metric like readmission rates, or a request to interpret a dashboard. Practice narrating your reasoning out loud, not just getting the right answer.
Healthcare Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most healthcare data analysts?
The companies hiring the most healthcare data analysts right now include Jobot, Zeta Global, and EmblemHealth, with the largest share of openings in Illinois, New York, and Texas, based on current listings on Migrate Mate as of September 2026. Health systems, payers, and pharmacy benefit managers consistently represent the largest share of open roles.
How many healthcare data analyst jobs are remote?
About 81% of healthcare data analyst openings are fully remote or hybrid as of September 2026, making it one of the more flexible roles in the healthcare sector. Positions focused on payer analytics, population health reporting, and claims analysis tend to be the most remote-friendly, while roles tied to on-site EHR systems or clinical operations teams are more likely to require in-person work.
How do you become a healthcare data analyst?
Start with a bachelor's degree in health informatics, public health, statistics, or a related field, then build hands-on SQL and data visualization skills through coursework or self-directed projects using publicly available clinical datasets. Certifications in tools like Tableau or platforms like Epic can strengthen your application. Entry-level roles in data coordination or health information management are common stepping stones into a full analyst position.
Can you get a healthcare data analyst job with little or no experience?
Yes, entry-level healthcare data analyst roles exist, and employers filling them often prioritize SQL skills and domain familiarity over years of experience. A portfolio project using a public claims or public health dataset, combined with any coursework or internship in a healthcare setting, can substitute for direct work history. Titles like junior analyst, reporting analyst, or health informatics coordinator are common starting points that lead into analyst roles.
What does the healthcare data analyst interview process look like?
Most healthcare data analyst interview processes include an initial recruiter screen, a technical assessment involving SQL queries or a case study built around a clinical metric like readmission rates or claims denial patterns, and a final panel interview with data team leads or clinical stakeholders. Some employers add a take-home exercise asking you to clean a dataset and present findings, so prepare to walk through your analytical reasoning clearly and concisely.
Where can I find and apply to healthcare data analyst jobs?
You can find and apply to healthcare data analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills, experience level, and preferred location, then apply directly to each one that fits.
See All 85 Healthcare Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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