Back to jobs
Job in Kenya

MEL & Data Analysis Specialist

Silverleaf Academy Outside Kenya Full Time Posted 2026-08-07
CountyNot specifiedCityNot specifiedContractFull TimePosted2026-08-07Close dateNot specifiedExperience3 yearsSourceBrighterMonday KenyaSalaryKSh 15,000 - 30,000
MEL SpecialistData AnalysisMonitoring and EvaluationDashboardsSilverleaf AcademyFull TimeMid LevelEducationKenyaData Qualitycleaningtechnology
Use AI for this job

AI summary

Silverleaf Academy is hiring a mid-level MEL & Data Analysis Specialist to manage its Monitoring, Evaluation, and Learning system and dashboards. The role involves maintaining data flows from the School Management System and field tools, cleaning and validating data, building and improving leadership dashboards, supporting funder reporting, and coordinating with campus teams. Applicants should have a Bachelor's degree, 3 years of experience, and strong English skills.

  • Mid-level role managing Silverleaf's MEL system and dashboards
  • Involves data cleaning, validation, and quality monitoring
  • Supports leadership reporting and funder/partner reporting
  • Requires Bachelor's degree and 3 years of experience
  • Salary range KSh 15,000 - 30,000
  • Full-time, 8 to 5 working hours

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 15,000 - 30,000. 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 cleaning, technology, Data AnalysisThe 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 MEL & Data Analysis Specialist evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to Silverleaf Academy and the role in Not specified.
  • Add concrete examples related to cleaning, technology, Data Analysis, 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
  • 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 MEL & Data Analysis Specialist role in cleaning, 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 Silverleaf Academy 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

  • MEL & Data Analysis Specialist
  • Silverleaf Academy
  • Software & Data
  • 2 weeks ago
  • Easy apply
  • New
  • Outside Kenya
  • Full Time

Education

  • KSh
  • 15,000 - 30,000
  • Share link
  • Share on WhatsApp
  • Share on LinkedIn
  • Share on Facebook
  • Share on Twitter
  • Share via SMS
  • Job summary
  • This role is responsible for the day-to-day management of Silverleaf's Monitoring, Evaluation, and Learning (MEL) system and dashboards, ensuring data is accurate, current, and reliable. Key

Responsibilities

  • include maintaining data flows from the School Management System (SMS) and field tools, cleaning and validating data, monitoring data quality
  • Min Qualification:
  • Bachelors

Experience

  • Level:
  • Mid level
  • Length:
  • 3 years
  • Language Requirement:
  • English
  • Working Hours:
  • Full Time - 8 to 5
  • Applicant
  • Location:
  • Kenya
  • Job descriptions &

Requirements

  • 1. Data Collection & Quality
  • Track data entry across the school management system (student scores, attendance, retention) and field tools (classroom observations, surveys).
  • Check incoming data for gaps, errors, and inconsistencies; follow up directly with campus teams to get them fixed.
  • Keep the MEL indicator matrix, the core indicators spanning literacy, numeracy, Socio-Emotional Learning, retention, teacher training, and placement, accurate and up to date.
  • 2. Dashboard Build, Automation & Tooling
  • Maintain and improve the leadership dashboards.
  • Fix issues as they come up; keep the dashboard live, current, and easy for non-technical leadership to read at a glance.
  • Advise on and implement best-practice tools and automations that cut manual work across teams.
  • Monitor and manage hosting/usage to avoid unnecessary cost or downtime.
  • 3. Reporting & Analysis
  • Pull together regular data summaries and reports for leadership review (this will primarily sit in live dashboards that can be utilised directly).
  • Run the numbers behind funder and partner reporting, and flag anything unverified or inconsistent before it goes external.
  • Support assessment cycles (for example EGRA/EGMA baseline, endline): scheduling, data capture, and analysis.
  • 4. Cross-Team Coordination
  • Work directly with the Executive Principal and department heads to keep each indicator's data flowing on schedule.
  • Support campus-level teams with data entry training and troubleshooting.
  • 5. Documentation
  • Keep data definitions, collection templates, and the indicator matrix current and usable by the wider team.
  • Document how systems and reports work, so others can pick them up independently.
  • Log In and Apply
  • Important safety tips
  • Do not make any payment without confirming with the BrighterMonday Customer Support Team.
  • If you think this advert is not genuine, please report it via the Report Job link below.
  • Report Job
Source and provenanceSource: BrighterMonday Kenya. Last checked: 2026-08-20.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.