Career profile

Health Data Analyst.

Health data analysts work at the intersection of healthcare and analytics: extracting data from EHRs and claims systems, building dashboards, calculating HEDIS measures, supporting population health, and translating numbers into operational and financial decisions. It's the fastest-growing adjacency from HIM and a top destination for RHIA holders who want broader career range. Pay is competitive: $65-80K entry, $107K industry average per Glassdoor, $140K+ at senior levels in payer analytics and consulting.

By Taylor Rupe, editor · Updated

Healthcare data analyst workspace
$107K

Glassdoor avg (2026)

$65-80K

Entry-level band

$140K+

Senior payer analytics

SQL

The non-negotiable skill

Key takeaways

The 7 facts that matter most about healthcare data analyst careers.

  • Healthcare data analysts extract from EHRs and claims data, build dashboards, calculate quality and risk-adjustment measures, and produce reporting for clinical operations, finance, and payer programs.
  • Salary range: $65K (entry) to $140K+ (senior payer/consulting). Glassdoor's 2026 industry average is $107,162 with 25th-75th percentile $81K-$142K. Senior analyst roles at Optum, Humana, and tech-company healthcare arms can clear $150K base.
  • Core skills: SQL, Tableau or Power BI, Excel, applied statistics. Healthcare-specific knowledge: ICD-10-CM, MS-DRG, HEDIS, common EHR data models. Bonus: Python, R, FHIR.
  • The HIM-to-analyst pivot: RHIA/RHIT holders typically need to add SQL, basic Python, and visualization skills. Healthcare domain knowledge is already strong; the technical layer is the gap.
  • The non-HIM pivot: CS, stats, or public health backgrounds typically need to add domain knowledge — ICD-10-CM, MS-DRG logic, EHR data models. CHDA credential signals healthcare depth.
  • Top employers: payer organizations (UnitedHealth/Optum, Humana, Elevance), large IDNs (Kaiser, HCA, Cleveland Clinic), healthcare consulting (Deloitte, Huron), EHR vendors (Epic, Oracle Health), big-tech healthcare (Microsoft Azure for Health, Google Cloud for Healthcare, Amazon HealthLake).
  • Strongly remote-friendly. Healthcare data analyst work is mostly asynchronous, tool-based, and well-suited to WFH. Payer-side and consulting roles are often fully remote from hire.

What it is

What a healthcare data analyst actually does.

A healthcare data analyst extracts, transforms, and reports on data from EHRs (Epic, Oracle Health, MEDITECH), claims systems, registries, and external benchmarks. The deliverables vary by employer:

  • Hospital and IDN analysts: clinical operations dashboards (length of stay, readmission rates, throughput), quality measure reporting (HEDIS, CMS Star Ratings, CMS quality programs), revenue cycle analysis (denials, coding accuracy, charge capture), service-line financial performance.
  • Payer analysts: HEDIS measure calculation, Medicare Advantage Star Ratings, risk adjustment (HCC) analytics, network performance, claims pattern analysis, prior authorization data.
  • Population health / ACO analysts: care gap analysis, attribution modeling, panel management reports, quality measure performance against benchmarks.
  • Consulting analysts: client engagements covering hospital operations, payer strategy, value-based care, or healthcare technology assessments.

The work is fundamentally translation: structured data into operational insight. You're pulling SQL queries against the EHR data warehouse, building Tableau dashboards, validating numbers with clinical or operational stakeholders, and explaining what the data means in language that non-technical leaders can act on.

Skills

The healthcare data analyst skill stack.

Two skill stacks combine to make a healthcare data analyst:

Technical skills

  • SQL (non-negotiable): Joins, aggregations, window functions, CTEs. The single most important technical skill.
  • Tableau or Power BI: Dashboard design, calculated fields, data source connections.
  • Excel power user: Pivot tables, VLOOKUP/XLOOKUP, Power Query, basic VBA.
  • Applied statistics: Descriptive stats, hypothesis testing, regression at a basic level.
  • Python or R (bonus, lifts pay): Data wrangling, basic ML, automation.
  • EHR data models: Epic Clarity/Caboodle, Cerner CCL/Discovery, athenahealth APIs.

Healthcare-specific knowledge

  • ICD-10-CM and CPT: Code structure, how to use them in cohort definitions.
  • MS-DRG and APC logic: How Medicare reimbursement works.
  • HEDIS measures: NCQA's quality measure framework used by payers.
  • CMS Star Ratings: Medicare Advantage quality program.
  • Population health frameworks: Attribution, panel management, care gap closure.
  • Risk adjustment (HCC): Medicare Advantage and ACA risk scoring.
  • FHIR interoperability: How modern healthcare APIs work.

The gap analysis

If you're HIM-credentialed, you have most of the healthcare-specific knowledge already. The gap is SQL, visualization, and statistics. Plan 6-12 months of focused skill-building on the technical stack. If you're a generalist data analyst moving into healthcare, you have the technical chops. The gap is domain knowledge. Plan 6-12 months learning ICD-10-CM, MS-DRG, HEDIS, EHR data structures.

Path

How to break into healthcare analytics.

Two main paths into healthcare data analyst work:

  1. Path 1: HIM to analyst

    RHIA or RHIT holder with 2-3 years of HIM operations work (coding, audit, registry) → build SQL skills via online courses (Coursera, DataCamp, Mode Analytics SQL tutorial) and visualization (Tableau Public, Power BI) → apply internally at the hospital for analyst roles, or laterally to payer organizations. Often the AHIMA CHDA credential is added during this transition.

  2. Path 2: Generalist analyst to healthcare

    Existing data analyst with SQL + visualization skills moving into healthcare. Domain knowledge gap fills through on-the-job exposure plus self-study of ICD-10, MS-DRG, HEDIS. The MSHI is a stronger credential than CHDA for this audience because it builds both healthcare context and broader informatics depth.

  3. Path 3: Direct entry from school

    New grads with a bachelor's in health informatics, public health (MPH), or biostatistics. Less common than the two pivot paths but increasingly available as healthcare analytics programs proliferate. Entry-level pay band: $60-75K.

Credentials

CHDA and adjacent credentials.

Healthcare analytics has a fragmented credential landscape. The most relevant ones:

  • CHDA (AHIMA)

    Healthcare data analyst credential. Requires RHIT/RHIA OR a bachelor's. Only 356 active holders nationwide — small pool, real differentiator. Best for HIM professionals moving into analyst work.

  • CAHIMS / CPHIMS (HIMSS)

    CAHIMS is entry-level healthcare IT; CPHIMS is the senior management credential. Vendor-neutral. Better signal for healthcare IT operations than analyst-specific work.

  • SAS Base Programmer / SAS Clinical Trials

    Strong for payer analytics (SAS is heavy at UnitedHealth, Humana, Optum) and for pharma/CRO clinical data work. Tool-locked but well-recognized.

  • Tableau Desktop Specialist / Microsoft Power BI Data Analyst

    Vendor-specific visualization credentials. Useful resume signal early in career; less differentiator at senior levels.

  • PMI-PBA

    Professional in Business Analysis. Industry-agnostic but useful for analyst-to-consultant transition.

Salary

Salary trajectory.

StageRolePay band
EntryHealthcare Data Analyst I$65,000-$80,000
Early-careerHealthcare Data Analyst II$80,000-$95,000
Mid-careerSenior Healthcare Data Analyst$95,000-$125,000
SeniorLead Analyst / Analytics Manager$120,000-$150,000
Director-trackAnalytics Director / Data Science Manager$140,000-$200,000+

By employer type: Payer organizations (Optum, Humana, Elevance) and big-tech healthcare arms (Microsoft, Google, Amazon health divisions) pay top of band. Healthcare consulting (Deloitte, Huron, Guidehouse) pays competitively with bonus structures. Hospital and health system analytics pay 10-15% below payer and consulting. Federal contractors (CDC, NIH, AHRQ) pay stable but below industry peak.

Geographic premium: California, New York, Massachusetts, and the DC metro 15-25% above national. Texas, Florida, and the Midwest near national median. Rural areas 10-20% below.

The credential question: The CHDA adds an estimated 10-15% premium per AHIMA's marketing, but the data is hard to isolate cleanly. SQL and Python skills demonstrated through portfolio work and prior analytics experience matter more for senior pay than any credential. See our Health Data Analyst salary deep dive for state-level data.

Employers

Where health data analysts work.

Payer organizations

UnitedHealth/Optum, Humana, Elevance, Aetna/CVS, Centene, regional Blue Cross plans. Heavy hirers of healthcare data analysts, particularly for HEDIS, risk adjustment, network analytics, and CMS Star Ratings work. Often fully remote.

Large IDNs and academic medical centers

HCA, Kaiser Permanente, Cleveland Clinic, Mayo, Mass General Brigham, Ascension, Northwell. Hospital and system analytics teams covering quality, operations, finance, and population health.

Healthcare consulting

Deloitte, Accenture, Huron, KPMG, Guidehouse, Optum Advisory, Nordic Global. Client engagements covering provider operations, payer strategy, value-based care. Bonus structures common.

EHR vendors

Epic, Oracle Health (Cerner), MEDITECH, athenahealth. Analyst roles support implementations, customer success, and product analytics. Pay competitive.

Big-tech healthcare arms

Microsoft (Azure for Health, Nuance), Google (Cloud for Healthcare, Verily), Amazon (HealthLake, One Medical), Apple Health. Senior analyst and data scientist roles with top-of-market pay.

Federal and public sector

CDC, NIH, AHRQ, CMS, state Medicaid agencies, public health departments. Stable employment, strong benefits, often lower pay than private sector.

Comparison

Analyst vs data scientist vs biostatistician.

Three roles often confused, with different skill stacks and pay ranges:

RolePrimary workToolsPay band
Health Data AnalystReporting, dashboards, ad-hoc analysisSQL, Tableau, Excel$65-150K
Healthcare Data ScientistPredictive modeling, ML, advanced analyticsPython, R, SQL, ML libraries$100-200K+
BiostatisticianClinical trial design, formal statistical analysisSAS, R, formal statistics$90-180K

The analyst is the operational data role; the data scientist is the model-building role; the biostatistician is the rigorous-statistics role. Many senior analysts pick up Python and basic ML over time and pivot toward data scientist. Biostatisticians typically come from formal statistics or epidemiology backgrounds.

FAQ

Frequently asked questions.

Can I be a healthcare data analyst without SQL?+

Practically no. SQL is the universal tool for pulling data from EHR data warehouses, claims systems, and registry databases. Even self-service BI tools like Tableau require SQL knowledge once you move past simple data sources. If you don't have SQL, you're effectively limited to Excel-only work, which caps your career at the lower end of the pay band.

Is a master's degree required?+

Not for analyst-level work. A bachelor's plus demonstrated technical skills is sufficient. A master's becomes useful for moving into data scientist or analytics director roles, particularly at payer organizations and big-tech healthcare arms. MSHI, biostatistics, public health, or applied analytics master's programs are common.

Is healthcare data analyst a remote career?+

Yes, increasingly. Payer organizations are largely remote-by-default for analytics roles. Consulting firms are hybrid (mix of remote and travel to client sites). Big-tech healthcare arms are often remote or hybrid. Hospital and IDN analytics are more frequently hybrid (2-3 days remote, 2-3 on-site) because of partner-relationship management with clinical and operations stakeholders.

Does AI threaten the healthcare data analyst role?+

Augmenting and shifting it. AI-assisted analytics tools (Tableau Pulse, Power BI Copilot, ChatGPT-style SQL generators) accelerate basic query and dashboard work. The high-value analyst role is shifting toward domain expertise — knowing which questions to ask, what the data actually means, and how to communicate findings to non-technical stakeholders. Pure SQL-writing roles are commoditizing; healthcare-domain analyst roles are not.

What's the fastest path from HIM to analyst?+

Build SQL fluency (free via Mode Analytics SQL tutorial, paid via DataCamp, or community college courses), build a portfolio of 3-5 analytics projects using public healthcare datasets (CMS public data, SEER cancer registry), apply internally at your hospital for any analyst-track role, and add the CHDA credential once you're past 1-2 years in analytics work. Total timeline: 12-18 months from coding role to entry analyst role.

Related careers and resources

Keep exploring.

Salary deep dive

By state, sector, and credential.

CHDA certification

AHIMA's healthcare data analyst credential.

Health Informatics Master's

The deeper degree path for senior analyst and informatics roles.

HIM vs Health Informatics

The decision framework for which field to enter.

Medical Records Specialist

The HIM career that ladders into analyst roles.

All careers

The complete HIM and analytics career roadmap.

Sources

Last refreshed .