CD
Career Clinical Data Analyst
Clinical Data Analyst is a entry role in Health focused on Clinical data models, EHR workflows, Interoperability with measurable delivery outcomes. Closest BLS benchmark: Health information technologists and medical registrars with 14.7% projected U.S. growth and 3,200 annual openings.
Length0-2 years
Workload5/10
Avg salary$67
Outlook14.7 %
About Clinical Data Analyst.
Clinical Data Analyst sits in Health and develops Clinical data models, EHR workflows, Interoperability. The page links curriculum or career milestones to evidence users can actually show: clinical/supervised hours, lab records, case reports, ethics training, quality projects, and licensure-ready documentation.
Clinical Data Analyst is mapped to the closest available BLS occupation: Health information technologists and medical registrars (29-9021). The benchmark reports median annual wage $67,310, projected growth 14.7%, and 3,200 annual openings for 2024-2034. These are population-level U.S. benchmarks, not a guarantee of admission, licensure, visa, salary, funding, or job placement.
Why Clinical Data Analyst can be a strong path.
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Market-linked signal
Uses BLS 2024-2034 occupation projections for Health information technologists and medical registrars where available.
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Evidence-first path
The expected proof is concrete: clinical/supervised hours, lab records, case reports, ethics training, quality projects, and licensure-ready documentation.
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Global comparison ready
Study pages include U.S., Canada, U.K., and Germany cost benchmarks; career pages keep U.S. BLS labor-market context explicit.
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Roadmap included
Credential stages and career stages are linked to the same track so users see the next realistic step.
Clinical Data Analyst is an entry-level career step in healthcare and life sciences where the work centers on Clinical data models, EHR workflows, Interoperability, and Health analytics. It is a practical role for people who want to turn study, training, or early experience into measurable results.
Typical work includes Build capability in Clinical data models and EHR workflows., Use SQL, FHIR, Epic / Cerner to produce documented work., and Create reviewable evidence such as clinical/supervised hours, lab records, case reports, ethics training, quality projects, and licensure-ready documentation.. At this stage, the focus is learning how to deliver reliable work, communicate progress, and build trust through consistent execution. Success depends on being able to explain decisions, document work, and show progress through real outputs.
The role builds capability in Clinical data models, EHR workflows, Interoperability, and Health analytics and often uses tools such as SQL, FHIR, Epic / Cerner, and Tableau. Strong candidates make their value visible through projects, reports, systems, client outcomes, operational improvements, or portfolio evidence.
Over time, this role can progress toward Clinical Data Analyst, Health Informatics Specialist, Digital Health Architect, and Digital Health Lead. It fits people who are comfortable learning continuously, receiving feedback, managing responsibility, and connecting daily work to broader business or social outcomes.
Career progression for Clinical Data Analyst.
Entry
Own increasingly complex clinical data models, ehr workflows work and convert it into measurable outcomes.
Growth
Own increasingly complex clinical data models, ehr workflows work and convert it into measurable outcomes.
Senior
Own increasingly complex clinical data models, ehr workflows work and convert it into measurable outcomes.
Leadership
Own increasingly complex clinical data models, ehr workflows work and convert it into measurable outcomes.
PATHWAY ARCFrom foundation to Clinical Data Analyst — your 0–2 years arc.
Health
PRACTICELearn by doing — labs, studios, supervised practice and real briefs.
Hands-on◇
Additional Details
Tools and Topics
Tools
SQLFHIREpic / CernerTableauPythonREDCap
Topics
Clinical data modelsEHR workflowsInteroperabilityHealth analyticsPrivacy and complianceData governance
Skills for Clinical Data Analyst.
Clinical data modelsCORE
95%
EHR workflowsCORE
90%
InteroperabilityCORE
85%
Health analyticsCORE
82%
Privacy and complianceADVANCED
78%
Data governanceADVANCED
74%
Career outcomes for Clinical Data Analyst.
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Most common starting pointClinical Data Analyst$48K-71K14.7%3,200
Connects Clinical Data Analyst evidence to employer-facing outcomes: clinical or lab logs, supervised hours, protocol documentation, patient-safety reflections, data reports, and compliance evidence.
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Fast-growing next stepHealth Informatics Specialist$54K-81K14.7%3,200
Connects Clinical Data Analyst evidence to employer-facing outcomes: clinical or lab logs, supervised hours, protocol documentation, patient-safety reflections, data reports, and compliance evidence.
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Long-horizon leadership pathDigital Health Architect$104K-162K23.2%62,100
Connects Clinical Data Analyst evidence to employer-facing outcomes: clinical or lab logs, supervised hours, protocol documentation, patient-safety reflections, data reports, and compliance evidence.
Top destinations are selected from the same track and benchmarked against the closest BLS occupation where available. The strongest applications show clinical log, research protocol, health data dashboard, simulation assessment, or licensure-prep record.
Earning potential for Clinical Data Analyst.
Earning Potential · curve over career
BLS medians for closest related occupations; seniority, geography, employer, licensing, and company level can vary widely.
Growth outlook for Clinical Data Analyst.
Growth Outlook · projected openings
Clinical Data Analyst is mapped to Health information technologists and medical registrars; demand combines projected growth, annual openings, and employment scale.
HIGH79.7 / 100
Health information technologists and medical registrars · 2024-2034
Employment 202442K
Projected employment 203448K
Projected change6K
Annual openings3K
Median annual wage$67,310
Projected growth14.7%
Yearly points are a linear interpolation between official BLS 2024 and 2034 projection endpoints for UI charting.
EVIDENCEBuild proof, not just progress — projects, labs, supervised practice, portfolios, and outcomes that can be reviewed.
Portfolio-readyFree or free-audit resources for Clinical Data Analyst.
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Health Informatics career dataBLS Occupational Outlook / Employment Projections · Free
Free🧪Health Informatics projects and practiceGitHub / portfolio · Free
Free🏥CDC TRAINCDC / Public Health Foundation · Free
Free🌍WHO AcademyWorld Health Organization · Free / varies
Free / varies🧪Health projects and portfolio promptsGitHub / open resources · Free
FreeCertifications5 most relevant
CP
Good Clinical PracticeCITI Program / NIH-linked training · BEGINNER · Start / explore
CERTIFICATIONNBClinical research compliance foundation
Certified in Public HealthNBPHE · ADVANCED · After foundations
CERTIFICATIONAHPublic-health professional credential
Registered Health Information AdministratorAHIMA · ADVANCED · After first portfolio project
CERTIFICATIONAAHealth information and data governance
Certified Professional CoderAAPC · INTERMEDIATE · Before job applications
CERTIFICATIONNCHealthcare coding and revenue cycle
NCLEX-RNNCSBN · ADVANCED · For specialization
CERTIFICATIONNursing licensure exam pathway where applicable
Certification names, exam versions, fees, eligibility, and renewal rules change; verify on provider pages before purchase or enrollment.
Competitive requirements for Clinical Data Analyst.
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RequiredRole evidence
Demonstrate clinical or lab logs, supervised hours, protocol documentation, patient-safety reflections, data reports, and compliance evidence.
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RequiredCore skills
Be ready to discuss and demonstrate Clinical data models, EHR workflows, Interoperability, Health analytics.
✓
High signalPortfolio / proof
Prepare clinical log, research protocol, health data dashboard, simulation assessment, or licensure-prep record.
✓
Role-specificCertification / license
Use official certification, licensure, or safety pages where the occupation requires or rewards them.
✓
RequiredInterview readiness
Prepare structured examples showing scope, metrics, collaboration, quality, safety, and trade-offs.
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PlanningMarket fit
Target employers where the closest occupation outlook, local regulation, and entry requirements align.
0-2 weeks
Audit requirements, portfolio gaps, resume keywords, and proof of outcomes.
2-6 weeks
Finish one high-signal project/case/certification module and prepare interview stories.
6-12 weeks
Apply, network, request referrals, and track response rates by role type.
After interviews
Compare offer scope, growth path, training, visa/licensure constraints, and compensation.
!
Final requirements vary by provider, employer, country, accreditation body, licensing board, scholarship program, and visa category.
OUTCOMESWhere this leads — the roles, teams and industries this path opens.
Career outcomes