Health Data Analyst
Apply knowledge of healthcare and information systems to assist in the design, development, and continued modification and analysis of computerized healthcare systems.
What this career actually involves
Key tasks
- Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software
- Compile medical care and census data for statistical reports on diseases treated, surgery performed, or…
Skills and strengths
- Reliability
- communication
- learning ability and role-specific practical skills
Typical work environment
Office/Hybrid; Remote/Digital; Client or data-centre sites for some roles
Employment type
Public sector; NGO/Development sector; International/Remote
Study routes from KCSE onward
Kenya-specific pathways, drawn from KUCCPS and the relevant professional regulator.
Pathway after KCSE
KCSE → Data Science → projects/portfolio + internship → junior role → Health Data Analyst → specialist/senior/lead/consulting or remote work
Typical training route
Diploma or degree in the relevant health field + professional registration where required
Representative KUCCPS pathway
BACHELOR OF SCIENCE DATA SCIENCE - representative route
Entry requirements
Degree mean grade C+. Representative minimum: Mathematics Alternative A C+; some variants also specify English/Kiswahili C.
Training duration
Degree: about 4 years; shorter certificates/bootcamps can supplement
Helpful KCSE subjects
Related courses
- Data Science
- Applied Statistics & Data Science
- Statistics
- Computer Science
- Business Analytics
Institutions offering this route
Examples, not an exhaustive list.
- Meru University of Science and Technology
- University of Nairobi
- other KUCCPS universities offering data science/analytics variants
Professional regulator
No single statutory professional regulator identified for this general title
Demand and the effect of AI
Kenya demand
High - essential service sector with persistent need for trained health professionals; demand varies by cadre and public/private hiring cycles.
Future outlook / AI impact
Stable-to-strong / AI-assisted — AI will support diagnostics, records, triage and decision support, but human care, physical procedures, accountability and professional licensing keep the role strongly human-led.
Possible specialisations
- Business intelligence
- Data engineering
- Machine learning
- Product analytics
- Biostatistics
A portfolio and practical SQL/Python/BI skills matter strongly in addition to the formal route.
Could this career suit you?
May suit you if you enjoy helping people, science and careful practical work; useful strengths include Reliability, communication, learning ability and role-specific practical skills.
Weighing this against something else?
Put them side by side on subjects, entry requirements, duration and outlook.
Related careers
Roles that share skills, subjects or study routes with this one.
Sources
Occupation data: O*NET 29-9021.00. Kenya pathway: KUCCPS / regulator. Last verified 24 August 2026.
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