Job in Kenya
Data Analyst
CountyNairobi CountyCityNot specifiedContractFull-timePosted2026-08-13Close dateNot specifiedExperience3 yearsSourceGoKaziniSalaryEst. KES 120,000 – 200,000/mo
Data AnalystPower BINairobiFull-timeMid-levelBankingFintechSQLData VisualizationOn-sitetechnologyData Analyst
AI summary
Mid-level Data Analyst role in Nairobi, Kenya, focused on Power BI solutions for enterprise business units. Requires 3-6 years of experience in data analysis or BI development, preferably within banking, fintech, telecom, or digital financial services. Estimated salary KES 120,000–200,000/month on a full-time, on-site basis.
- Mid-level Data Analyst position based in Nairobi, Kenya
- Estimated salary KES 120,000–200,000 per month
- Full-time, on-site role
- Requires 3-6 years of data analysis or BI development experience
- PL-300 Power BI certification is highly desirable
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Est. KES 120,000 – 200,000/mo. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required3+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in technology, Data Analyst, BI DeveloperThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full-time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Data Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to GoKazini and the role in Not specified.
- Add concrete examples related to technology, Data Analyst, BI Developer, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from GoKazini; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- GoKazini
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Data Analyst role in technology, Data Analyst?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research GoKazini before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
- Back to all jobs
- HL
- Data Analyst
- Members only
- Nairobi, Kenya
- Est. KES 120,000 – 200,000/mo
- Est.
- On-site
- Full-time
- Mid-level
- Posted
- 3 days ago
- Share
- What you bring
- Bachelor's degree in Computer Science, Data Analytics, Statistics, Information Technology, Business Intelligence, or a related quantitative field.
- PL-300 certification (Microsoft Certified: Power BI Data Analyst Associate) is highly desirable and considered an added advantage.
- 3-6 years'
Experience
- as a Data Analyst or BI Developer, preferably within banking, fintech, telecom, or digital financial services.
- Proven track record of designing end-to-end, high-adoption Power BI solutions for enterprise business units.
- Power BI Mastery: Expert-level skills in Power BI Desktop, Power BI Service, Power Query (M), DAX, custom visuals, and performance tuning.
- Data Modeling & SQL: Strong proficiency in SQL for data extraction, joining, aggregation, and performance tuning, along with solid knowledge of dimensional modeling principles.
- Data Visualization & UX: Deep understanding of report design best practices, visual hierarchy, user interface principles, and storytelling with data.
Source and provenanceSource: GoKazini. Last checked: 2026-08-14.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.