• Application Deadline: Fri, 12 Sep 2025 00:00:00 GMT
• Position: Monitoring, Evaluation, Research and Learning (MERL) Data Analyst



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 2 - 3 years



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

• The MERL Data Analyst will be responsible for all MERL activities, collecting, analyzing, and interpreting data to track program performance, measure impact, and inform strategic decision-making on the YAPPI project. This role is integral to ensuring the success of YAPPI's goals and maintaining transparency and accountability in program delivery.

Responsibilities

• Develop and enhance monitoring, evaluation, and learning (MEL) frameworks and procedures for effective project tracking.


• Monitor all project activities, expenditures, and outputs to ensure alignment with project goals and timelines.


• Recommend improvements to the project’s logical framework and implementation approach.


• Design and implement data collection tools to capture quantitative and qualitative program data.


• Track and analyze project performance using key indicators and impact tracking tools.


• Provide regular feedback to the Project Manager on implementation strategies and effectiveness.


• Identify implementation bottlenecks and propose strategies to improve efficiency and project outcomes.


• Compile and submit detailed monthly, quarterly, and annual M&E reports to stakeholders and management.


• Conduct capacity assessments and support the development of M&E tools and methodologies.


• Maintain a secure and up-to-date database of student performance, engagement, and attendance.


• Analyze data to identify trends, gaps, and opportunities for improving program delivery and impact.


• Develop dashboards, infographics, and visual reports for internal and external stakeholders.


• Present evaluation findings and recommendations to program teams, senior leadership, and partners.


• Collaborate with cross-functional teams to ensure consistent data collection and sharing across the project.


• Contribute to strategic planning by providing data-driven insights and evidence-based recommendations.

Key Qualifications and Skills

Education & Experience

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.


• 2–3 years of proven experience as a Data Analyst, preferably within the education, nonprofit, or creative industries.

Technical Skills

• Proficiency in data analysis tools such as Excel, Python, R, or SQL.


• Hands-on experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.


• Familiarity with Learning Management Systems (LMS) data handling and management.


• Experience in Knowledge Management is a significant advantage.