Learning Data Analyst
AI job insight
FIPS Africa is hiring a Learning Data Analyst in Kenya to turn programme, research and farmer-experience data into actionable insights that support evidence-based learning and adaptive delivery for smallholder farmers and agricultural enterprises. The role involves analytical design, data preparation and quality, quantitative and qualitative analysis, and clear communication of findings to programme teams, farmers and partners. The position requires a Bachelor's degree and 2 years of experience.
- Role focused on agricultural learning and evidence-based programme improvement in Kenya
- Mix of quantitative and qualitative analysis including surveys, trials and interviews
- Requires Bachelor's degree and 2 years of experience
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FIPS Africa is hiring a Learning Data Analyst in Kenya to turn programme, research and farmer-experience data into actionable insights that support evidence-based learning and adaptive delivery for smallholder farmers and agricultural enterprises. The role involves analytical design, data preparation and quality, quantitative and qualitative analysis, and clear communication of findings to programme teams, farmers and partners. The position requires a Bachelor's degree and 2 years of experience.
- Role focused on agricultural learning and evidence-based programme improvement in Kenya
- Mix of quantitative and qualitative analysis including surveys, trials and interviews
- Requires Bachelor's degree and 2 years of experience
- Open to all genders with a clear posting and expiry timeline
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot 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?
- Required2+ 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 cleaning, entregador, agriculturaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in KenyaThe 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 Learning Data Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to FIPS Africa and the role in Kenya.
- Add concrete examples related to cleaning, entregador, agricultura, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Opened Career 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
- Opened Career 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 Learning Data Analyst role in cleaning, entregador?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Kenya under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research FIPS Africa 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
November 1, 2026
Kenya
Expiration date: December 31, 2026
2 Years
Gender: Both
Qualifications
Bachelor Degree
Job Description
- Role Purpose of the Role
- The Learning Data Analyst transforms programme, research, and farmer-experience data into credible, actionable insights that strengthen evidence-based learning, inform decision-making, and support adaptive programme delivery to improve outcomes for smallholder farmers and agricultural enterprises.
Key responsibilities
- Learning questions and analytical design
- Work with programme teams to turn priority questions and hypotheses into feasible analysis plans with identified users, methods, data needs and review dates.
- Assess existing evidence before proposing new collection. Support the design of tools, sampling, measures and field protocols, seeking specialist input for complex designs or impact evaluation.
- Data preparation and quality
- Compile, clean, survey, trial, enterprise and qualitative data.
- Maintain data dictionaries, cleaning logs and versioned analysis files. Reconcile discrepancies with source owners, preserve original records and document unresolved limitations before findings are used.
- Support field-team checks and practical improvements to collection tools.
- Quantitative and qualitative analysis
- Undertake descriptive, comparative and appropriate statistical analysis; analyse trends and relevant differences by region, gender, age, farmer circumstances or enterprise type where sample sizes and data quality permit.
- Code and synthesise interviews, open responses, case studies and reflection records. Combine these with quantitative findings to explore mechanisms, farmer choices and contextual differences.
- Check calculations, assumptions and alternative explanations; report uncertainty, selection bias and other limits.
- Interpretation and accessible communication
- Prepare clear evidence summaries, charts, tables, analytical briefs and presentations. Develop or maintain dashboards only where these serve an agreed learning need and can be kept current.
- Help programme colleagues, farmers and partners interpret findings, test whether explanations fit experience and identify what still needs investigation. Explain the analysis in plain language and record competing interpretations.
- Contribute analysis and methods to research reports and publications
- Analytical capability and knowledge continuity
- Coach colleagues on basic data checks, interpretation, chart reading and common analytical errors through real programme work. Respond constructively to questions and make analytical choices understandable.
- Organise approved evidence packages in the shared repository
- Qualification & Experience.
- A bachelor’s degree in statistics, economics, agricultural economics, data science, agricultural sciences or related discipline, with substantial quantitative training,
- 2 years work experience
- Practical experience analyzing agricultural or rural-development data and translating findings into programme or research decisions, with an understanding of smallholder farming conditions.
- Demonstrated ability to clean, manage and analyze quantitative datasets using Excel and at least one statistical or programming package such as R, Stata, Python or SPSS.
- Experience with statistical reasoning, sampling and measurement limitations, systematic qualitative analysis and synthesis of different evidence sources.