• 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.