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Assistant Data Analyst

African Guarantee Fund Kenya Full-time Posted 2026-08-28
CountyNairobi CountyCityNot specifiedContractFull-timePosted2026-08-28Close dateNot specifiedExperience3 yearsSourceGoKaziniSalaryEst. KES 120,000 – 200,000/mo
data analystnairobifull timemid levelfinancial servicesbusiness intelligencecredit guaranteedata scienceon-siteafrican guarantee fundsalestechnology
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AI summary

African Guarantee Fund is hiring an Assistant Data Analyst in Nairobi, Kenya. The role requires 3–5 years of experience in data analysis, business intelligence, or market research, with at least 2 years in financial services, development finance, fintech, or the credit guarantee sector. A bachelor's degree in Statistics, Economics, Data Science, Finance, or a related field is required, and a master's degree is an added advantage.

  • Mid-level full-time on-site role in Nairobi
  • Estimated salary KES 120,000–200,000 per month
  • Requires 3–5 years data analysis or BI experience
  • Financial services or development finance experience preferred
  • CFA, FRM, Tableau, or Power BI certifications are 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 available

The 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 sales, technology, financeThe 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 Assistant Data Analyst evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to African Guarantee Fund and the role in Not specified.
  • Add concrete examples related to sales, technology, finance, 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 Assistant Data Analyst role in sales, technology?
  • 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 African Guarantee Fund before the interview.

Ask what the first priorities will be in the role and how success will be measured.

Use AI to apply better

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Original source description

  • Back to all jobs
  • AG
  • Assistant Data Analyst
  • Members only
  • Nairobi, Kenya
  • Est. KES 120,000 – 200,000/mo
  • Est.
  • On-site
  • Full-time
  • Mid-level
  • Posted
  • today
  • Share
  • What you bring
  • Required

Education

  • Bachelor's degree in Statistics, Economics, Data Science, Data Analytics, Finance or Business Administration.
  • Master's degree in a quantitative or business-related field is an added advantage.
  • Professional certifications in data analytics, project management or financial modelling are desirable, including certifications such as CFA, FRM, Tableau or Power BI.

Experience

  • 3–5 years of total work
  • in data analysis, business intelligence or market research.
  • At least 2 years of
  • within financial services, development finance, fintech or the credit guarantee sector.
  • 3–5 years of
  • in business development support, market research, CRM management or sales operations.
Source and provenanceSource: GoKazini. Last checked: 2026-08-28.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.