Consultant for Research Coordination, Remedial Learning Implementation Research, and Government Data Analysis

The consultant will generate timely, policy-relevant evidence to strengthen the national remedial learning programme implementation and institutionalize repeatable analytical routines for sustainability beyond the consultancy period. This includes structured co-analysis, mentoring, development of SOPs, reusable scripts, and a final technical handover package.

Responsibilities

• Generate timely, policy-relevant evidence to strengthen implementation of the national remedial learning programme.
• Institutionalize repeatable analytical routines so that MINEDUC, REB, and NESA can independently sustain this work beyond the 12-month consultancy period.
• Achieve sustainability through structured co-analysis, mentoring, development of standard operating procedures, reusable scripts and templates, and a final technical handover package.

Requirements

• Advanced university degree (Master’s or higher) in: Education (with a strong quantitative research component), Statistics/Applied Statistics, Economics/Econometrics, Data Science, or closely related Social Sciences.
• At least eight (8) years of relevant experience in education research, implementation research, programme evaluation, or learning assessment analysis, preferably in Rwanda or similar contexts.
• Fluency in English (spoken and written). Knowledge of French is an added advantage.
• Advanced data analytics: ability to clean, integrate, and analyze large datasets and translate them into policy-aligned, decision-ready insights.
• Reproducible statistical analysis: strong proficiency in Stata and/or R to produce transparent, well-documented, and reusable outputs.
• Implementation and mixed-methods research: experience linking quantitative and qualitative evidence, including lesson observation and learning process data.
• Embedded technical assistance and capacity strengthening: proven co-working, mentoring, and joint analysis with government teams.
• Costing and value-for-money analysis: ability to compile cost drivers, estimate unit costs, and develop scenario-based projections for scale-up decisions.
• Communication, coordination, and ethics: strong analytical writing, facilitation, data protection, and quality assurance.
• Experience working with government education data systems and evidence-to-policy processes; experience supporting institutionalization of analytical routines and reporting cycles.

Skills

• Education Research
• Implementation Research
• Programme Evaluation
• Learning Assessment
• Data Analytics
• Data Cleaning
• Data Integration
• Policy Analysis
• Statistical Analysis
• STATA
• Mixed-Method Research
• Qualitative Analysis
• Quantitative Analysis
• Technical Assistance
• Capacity Strengthening
• Cost Analysis
• Value for Money Analysis
• Scenario-Based Projections
• Analytical Writing
• Data Protection
• Quality Assurance
• Government Data Systems
• Evidence-to-Policy Processes
• Standard Operating Procedures Implementation
• Script Development

Languages

English, French