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Graduate Trainee – Research & Data Analytics

Kenya employer Nairobi Full Time Posted 2026-07-23
CountyNairobiCityNairobiContractFull TimePosted2026-07-23Close dateNot specifiedExperienceNot specifiedSourceBrighterMonday KenyaSalaryKSh 30,000 - 45,000
graduate traineeresearchdata analyticsNairobifull timeentry levelno experienceAIExcelstatisticsinternshipGraduate Trainee
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AI summary

Graduate trainee role in research and data analytics for a leading research company. Ideal for recent graduates with a bachelor's in statistics, economics, or related fields. Supports design, execution, and analysis of research projects using AI tools.

  • Immediate start
  • No experience required (up to 1 year)
  • Proficiency in Excel required
  • Interest in AI applications

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 KSh 30,000 - 45,000. 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.
  • RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
  • PreferredPractical evidence in internship, Graduate Trainee, Research AnalystThe tags and summary point to skills connected with this role.
  • RequiredAvailability to work in NairobiThe 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 Graduate Trainee – Research & Data Analytics evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to Kenya employer and the role in Nairobi.
  • Add concrete examples related to internship, Graduate Trainee, Research Analyst, ideally with measurable outcomes or clear responsibilities.
  • Follow the instructions from BrighterMonday Kenya; 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

  • BrighterMonday Kenya
  • Original source link available
  • Application method is clear
  • Deadline not specified
  • MediumThe employer is not clearly identified 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 Graduate Trainee – Research & Data Analytics role in internship, Graduate Trainee?
  • How have you handled responsibilities similar to those in this job post?
  • Are you available to work in Nairobi under the listed contract or schedule?
  • Prepare examples with clear responsibilities, tools used and measurable outcomes.
  • Review the source and research Kenya employer before the interview.

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

Use AI to apply better

After confirming the original source, use Career Assistant to check role fit, tailor your CV and prepare a cover letter or employer message.

Original source description

Graduate Trainee – Research & Data Analytics WORK GLOBAL CAREERS LIMITED Nairobi Full Time KSh 30,000 - 45,000 Research, Teaching & Training

Source and provenanceSource: BrighterMonday Kenya. Last checked: 2026-07-30.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.