Silverleaf Academy

MEL & Data Analysis Specialist

Silverleaf Academy

Software & Data

Today
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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 Experience 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.

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