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(RFP301374) SENIOR ANALYST – DATA (INTERNAL ADVERT), IITA KENYA

Alliance of Bioversity International and CIAT Nairobi Type not specified Posted 2026-07-22
CountyNairobiCityNairobiContractType not specifiedPosted2026-07-22Close dateNot specifiedExperience5 yearsSourceImpactpool Kenya
senior analystdataagronomic dataRNairobifull timeresearchagricultureIITACGIARinternshipAnalyst
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AI summary

The Senior Analyst – Data at IITA Kenya provides technical support for agronomic data management, analytics, and modeling to enhance data-driven decision-making in nutrient management research. The role involves curating datasets, developing analytical workflows, and generating insights to support digital agronomy tools. Requires a bachelor's degree and at least 5 years of experience in agronomic data analysis with proficiency in R.

  • Proficiency in R and machine learning required
  • Experience with agronomic, soil, climate, and survey datasets
  • Knowledge of geospatial analysis and GIS tools
  • Collaboration with scientists and stakeholders
  • Support technical reporting and scientific publications

AI job guide

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AI salary guide

Not enough public data

Not enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.

Can you qualify for this role?

  • Required5+ 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 internship, Analyst, DataThe tags and summary point to skills connected with this role.
  • RequiredAvailability to work in NairobiThe vacancy is associated with this location.

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 (RFP301374) SENIOR ANALYST – DATA (INTERNAL ADVERT), IITA KENYA evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to Alliance of Bioversity International and CIAT and the role in Nairobi.
  • Add concrete examples related to internship, Analyst, Data, ideally with measurable outcomes or clear responsibilities.
  • Follow the instructions from Impactpool Kenya; avoid sending documents to unofficial contacts or copied links.
  • Confirm the deadline, interview location and employer contact before sharing personal documents.
  • Prepare a polite question about pay, benefits and contract terms for later interview stages.

Source and safety check

  • Impactpool Kenya
  • 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 (RFP301374) SENIOR ANALYST – DATA (INTERNAL ADVERT), IITA KENYA role in internship, Analyst?
  • 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 Alliance of Bioversity International and CIAT 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

(RFP301374) SENIOR ANALYST – DATA (INTERNAL ADVERT), IITA KENYA Alliance of Bioversity International and CIAT Nairobi BG07

Source and provenanceSource: Impactpool Kenya. Last checked: 2026-07-28.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.