Terms of Reference (TOR) Consultant for Data Cleaning, Analysis, and Report Writing Tender at Kepler College
Background
Kepler College is conducting a Graduate Outcomes Evaluation focused on alumni two years after graduation from Kigali and Kiziba campuses. The evaluation aims to understand employment status, income, further education, entrepreneurship activities, and community engagement. This data will inform program improvements, strengthen alumni support services, and guide institutional learning. To support this process, Kepler seeks a qualified consultant to lead data cleaning, analysis, and report writing based on data collected through the Kepler Alumni Outcomes Survey.
2. Purpose of the Consultancy
The purpose of this consultancy is to ensure high-quality data management, robust analysis, and the production of a clear, credible, and actionable Graduate Outcomes Evaluation Report. The consultant will:
3. Scope of Work & Key Tasks
The consultant will work closely with Kepler's M&E and Careers & Alumni Affairs teams to deliver the following tasks:
4. Deliverables and Due Dates
The consultant is expected to produce the following deliverables:
Inception Note - Brief methodology + workplan, Dec 5, 2025
Cleaned Dataset - Clean, validated dataset + logs, Dec 20, 2025
Analysis Outputs - Tables, cross-tabs, visualisations, Jan 15, 2026
Draft Report - Full draft for review, Jan 30, 2026
Presentation Slides - Summary of findings, Feb 12, 2026
Final Report - Revised and formatted report, Feb 12, 2026
5. Required Qualifications
6. Duration & Level of Effort
Estimated LOE: 17 days spread across the assignment period.
Period of Performance: Start Date: December 1, 2025 to March 30, 2026
7. Reporting and Management
The consultant will report directly to:
Ojonwa Miachi, Monitoring & Evaluation Team.
They will work closely with:
Karoli Kolokonyi, Kepler Careers & Alumni Affairs Office
All deliverables must be submitted electronically to [email: evaluation@kepler.org].
8. Application Requirements
Interested consultants should submit:
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