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Data Analyst

GoKazini Kenya Full-time Posted 2026-08-20
CountyNairobi CountyCityNot specifiedContractFull-timePosted2026-08-20Close dateNot specifiedExperienceNot specifiedSourceGoKaziniSalaryEst. KES 120,000 – 200,000/mo
data analystnairobihybridfull timemid-levelSQLTableauQuickSightDBTbusiness intelligencefactoryarmazem
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AI summary

GoKazini is hiring a mid-level Data Analyst in Nairobi on a hybrid, full-time basis. The role requires strong SQL, spreadsheet, and data visualization skills, with experience in tools like QuickSight or Tableau and DBT for basic transformations. Estimated salary is KES 120,000–200,000 per month.

  • Mid-level hybrid full-time role in Nairobi
  • Estimated salary KES 120,000–200,000/month
  • Requires SQL, advanced spreadsheets, and BI tools
  • Experience with QuickSight, Tableau, or DBT preferred
  • Focus on data quality, dashboards, and stakeholder reporting

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?

  • UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
  • PreferredPractical evidence in factory, armazem, technologyThe 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
  • 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 factory, armazem, technology, 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 factory, armazem?
  • 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.

Use AI to apply better

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Original source description

  • Back to all jobs
  • CL
  • Data Analyst
  • Members only
  • Nairobi, Nairobi County, Kenya
  • Est. KES 120,000 – 200,000/mo
  • Est.
  • Hybrid
  • Full-time
  • Mid-level
  • Posted
  • 2 days ago
  • Share
  • What you bring
  • Must-have skills (required)
  • Good understanding of data analytics concepts, data visualization, and business intelligence tools.
  • Proficient in SQL for querying and extracting data from the data warehouse.
  • Advanced spreadsheet skills, including pivot tables, index-match, and macros or Google Apps Script.

Experience

  • creating dashboards and reports using tools such as QuickSight or Tableau.
  • Understanding of data modelling principles, with
  • writing DBT scripts for basic transformations.
  • Able to identify and flag data quality issues, applying data quality checks during analysis.
  • Strong communication skills, able to present findings clearly to stakeholders.
  • Academic and professional requirements
Source and provenanceSource: GoKazini. Last checked: 2026-08-30.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.