Data analyst salary in Kenya is a useful input for any UK or US business building an offshore analytics, annotation or human-in-the-loop data team. A data analyst salary here is the gross monthly pay a data specialist commands for cleaning, structuring, labelling, validating and analysing data. This guide sets out 2025/26 data pay by level, explains the talent pipeline behind it, and shows how the Kenyan data team cost compares with UK and US hires. Figures use the data specialist band and are indicative planning benchmarks triangulated from salary aggregators.
Key Facts
| Metric | Value |
|---|---|
| Data specialist (range) | KES 30,000-120,000 / month |
| Data specialist (typical) | ~KES 55,000 / month (~USD 424, GBP 317) |
| QA specialist (typical) | ~KES 60,000 / month (~USD 463, GBP 345) |
| Approx. typical annual | ~GBP 3,800 / ~USD 5,100 |
| ICT graduates per year | More than 10,000 |
| Total graduates (2024) | 123,366 (CUE) |
| English proficiency | EF EPI 2025 rank 19, score 593 (High) |
| BPO attrition | 15-20% |
| Time zone vs UK | GMT+3 (EAT), 5-6 hours overlap |
| FX reference | GBP 1 = USD 1.34 = KES 173.7 |
Key terms
- Data annotation
- Labelling, tagging and structuring raw data - text, images, audio or video - so it can be used to train, validate or audit machine-learning models.
- Human-in-the-loop
- A workflow where people review, correct or validate machine outputs, combining automation speed with human judgement on quality.
Data analyst salary by level
Answer: Kenyan data specialists earn roughly KES 30,000-120,000 a month, with a typical figure around KES 55,000.
| Level | Gross monthly (KES) | Approx. monthly (GBP)* | Approx. monthly (USD)* |
|---|---|---|---|
| Data specialist (range) | 30,000-120,000 | 173-691 | 232-926 |
| Data specialist (typical) | ~55,000 | ~317 | ~424 |
| QA specialist (typical) | ~60,000 | ~345 | ~463 |
| Senior / technical data role | 100,000-120,000 | 576-691 | 772-926 |
*GBP and USD conversions at GBP 1 = USD 1.34 = KES 173.7; indicative and move with exchange rates.
The typical data specialist at around KES 55,000 a month overlaps the QA specialist band, reflecting the quality-control element common to analytics and annotation work. More technical analysis roles - those requiring SQL, statistics or modelling - sit toward the top of the range and shade into the developer band. For the wider role table see the Kenya outsourcing rates guide and, for engineering, Kenya developer salary.
What a Kenyan data team costs a UK or US business
Answer: A typical Kenyan data specialist at about GBP 3,800 or USD 5,100 a year gross sits far below a UK or US data hire.
| Comparison (annual) | Kenya (typical data role) | UK / US data hire |
|---|---|---|
| Gross salary | ~GBP 3,800 / ~USD 5,100 | UK ~GBP 35,000-50,000; US ~USD 70,000-100,000 |
| Employer on-costs | low; SHIF 2.75% employee-borne | UK 15% NIC + pension; US FICA + health |
| Provider fee | on top of Kenyan gross | n/a |
A UK data hire carries 15% employer National Insurance and a 3% pension on top of base pay, and a US hire carries FICA at 7.65% plus health benefits; Kenya has no broad employer payroll tax, and the SHIF health levy at 2.75%, which replaced NHIF in October 2024, is employee-borne. KenInvest puts Kenyan labour 60-70% lower than the US, Europe and Australia. For the build-ups see Kenya labour cost vs the UK and Kenya labour cost vs the US.
The talent pipeline behind data roles
Answer: Kenya’s ICT graduate pipeline and English-medium workforce support analytics, annotation and validation work.
Kenya produces more than 10,000 ICT graduates a year within a total of 123,366 graduates in 2024, supplying numerate, computer-literate staff for data work. English is an official language, and Kenya ranks 19th on the EF English Proficiency Index 2025 with a score of 593, in the High band - important for text annotation, content review and instruction-following on labelling tasks. The GMT+3 time zone gives a 5-6 hour overlap with the UK working day for live review and feedback loops. See the Kenya talent hub and the English proficiency guide.
Annotation, QA and human-in-the-loop work
Answer: Kenya has an established data-annotation and content workforce suited to labelling, validation and human-in-the-loop tasks.
Beyond classic analytics, much offshore data work is annotation, content review and human-in-the-loop validation - labelling training data, checking model outputs and enforcing quality. Kenya has a developed workforce for this, and the data specialist and QA bands cover most of these roles. The 5-6 hour UK overlap allows annotators to receive task instructions and return flagged edge cases within the same working day, tightening feedback loops. For detail see AI data annotation in Kenya and the wider outsourcing to Kenya guide.
Key Takeaways
- A typical Kenyan data specialist earns around KES 55,000 a month (~USD 424, GBP 317), ranging KES 30,000-120,000; QA specialists sit around KES 60,000.
- At about GBP 3,800 or USD 5,100 a year gross, a Kenyan data role sits far below a UK or US data hire even before employer on-costs.
- Over 10,000 ICT graduates a year, High-band English and a 123,366-strong 2024 cohort underpin data quality.
- A 5-6 hour UK overlap supports live review for analytics, annotation and human-in-the-loop work.
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Frequently Asked Questions
How much does a data analyst earn in Kenya?
A data annotation or analysis specialist in Kenya typically earns around KES 55,000 per month (about USD 424 or GBP 317), with a range from roughly KES 30,000 to KES 120,000 depending on experience and the technical depth of the role.
What does a Kenyan data team cost a UK or US business?
A typical Kenyan data specialist at KES 55,000 a month is about GBP 3,800 or USD 5,100 a year gross before provider fees, well below a UK or US data hire, where employer on-costs alone are significant.
Why build a data team in Kenya?
Kenya produces over 10,000 ICT graduates a year within 123,366 graduates in 2024, works in English, sits in GMT+3 with a 5-6 hour UK overlap, and offers data pay well below UK and US levels - useful for analytics, annotation and human-in-the-loop work.
Is Kenya suitable for AI data annotation?
Yes. Kenya has an established data annotation and content workforce, an English-medium graduate pipeline and a 5-6 hour UK overlap, making it a practical location for labelling, validation and human-in-the-loop tasks.
Sources & References
- Remote People / Payscale, “Average Salary in Kenya 2026,” accessed 2026-06-13. https://remotepeople.com/countries/kenya/average-salary/
- Workmate, “Global Outsourcing Rates by Country 2025,” accessed 2026-06-13. https://www.workmatepro.com/global-outsourcing-rates-by-country-2025/
- Kenya National Bureau of Statistics (KNBS), “Economic Survey 2025” (graduate output), accessed 2026-06-13. https://www.knbs.or.ke/
- EF Education First, “EF English Proficiency Index 2025,” accessed 2026-06-13. https://www.ef.com/epi/
- Kenya Investment Authority (KenInvest), BPO sector pack (2025), accessed 2026-06-13. https://www.investkenya.go.ke/
Published by Outsourcing.ke.
Further Reading
- AI Data Annotation in Kenya - annotation and human-in-the-loop work in detail
- Kenya Outsourcing Rates - role-by-role salary benchmarks
- Kenya Developer Salary - engineering pay for technical data roles
- Employer of Record Kenya - EOR services for companies hiring in Kenya