Qualifications and Requirements:

• Bachelor's Degree or its International Equivalent in Data Science, Monitoring and Evaluation, Public Health, Epidemiology, Biostatistics, Health, Behavioral, Life/Social Sciences, International Development, Human Development, or a related field.
  
• Typically requires 4+ years of relevant experience in monitoring, evaluation, and learning, including managing data collection, analysis, and reporting at the program or project level.
  
• Prior work experience in a non-governmental organization (NGO), government agency, or international organization preferred.
  
• Experience with quantitative and qualitative data collection methods, routine monitoring, and reporting.
  
• Proficiency with data visualization tools and statistical software (e.g., Excel, Tableau, Power BI, SPSS, Stata, or similar) preferred.
  

Technical Requirements:

• Supports state-level implementation of MEL systems, tools, and procedures to collect, collate, analyze, and use data that demonstrate program progress and accountability.
  
• Provides technical support in the development and dissemination of tools, materials, reports, papers, and interventions for STRIDES Nigeria.
  
• Tracks STRIDES Nigeria indicators at the state level and produces reports and dashboards to inform project teams and leadership.
  

Project Design Implementation:

• Implements components of the AMELP at the state level.
  
• Tracks project indicators and produces reports.
  
• Identifies and raises issues to senior MEL staff, as needed.
  
• In coordination with the STRIDES Nigeria Technical Officer, conducts analysis of project implementation to identify areas for improvement.
  

Project/Program Reporting:

• Maintains database of project indicators and activities.
  
• Assists with collecting data for inclusion in client reports, including coordinating with local subcontractors to collect relevant project MEL data.
  
• Assists with compiling and creating technical content (e.g., reports, presentations, manuscripts).
  

Quality Assurance:

• Supports data quality assurance activities, including validation, verification, and monitoring of state-level MEL data.
  
• Develops broader knowledge of quality standards through a formalized system that documents processes, procedures, and responsibilities for achieving quality policies and objectives.
  
• Helps coordinate and direct MEL activities to meet client/funder and regulatory requirements.