Monitoring, Evaluation, and Learning Coordinator

• Bachelor’s degree in Monitoring and Evaluation, Statistics, Social Sciences, International Development, or a related discipline, relevant certifications in monitoring and evaluation are a plus.
  
• Minimum of 1-3 years of experience in monitoring, evaluation, learning, or research, preferably in a nonprofit or international development context.
  
• Proficiency in designing and implementing MEL frameworks, including indicators, data collection methods, and reporting systems.
  
• Experience in managing databases or information systems for MEL purposes, preferably with Salesforce.
  
• Knowledge of data collection techniques (surveys, interviews, questionnaires) and ensuring data quality, specific quantitative or qualitative research experience is a plus.
  
• Strong project management skills with the ability to oversee MEL activities across multiple programs.
  
• Understanding of ethical considerations in data collection and analysis.
  
• Excellent written and verbal communication skills, with the ability to convey complex information clearly.
  
• A commitment to continuous learning and staying updated on the latest trends and tools in MEL.
  

MEL System Development

• Collaborate with the MEL Manager to implement methods for collecting and monitoring data that measures program effectiveness and organizational efficiency.
  
• Develop and manage technical tools for data collection within the existing MEL system, which includes a mobile data collection app (TaroWorks) and a cloud-based database (Salesforce).
  
• Define and document MEL processes, including data collection methods, monitoring procedures, and reporting structures.
  
• Incorporate MEL activities into project and program planning in collaboration with program and operational leads.
  

Monitoring and Reporting

• Implement monitoring plans to track project progress and ensure data quality.
  
• Create internal and external dashboards, reports, and visualizations to communicate key performance indicators and program impacts.
  
• Gather and incorporate consistent feedback from staff and stakeholders on the effectiveness of MEL processes.
  
• Assist in the creation of reports detailing program successes, challenges, and learnings for internal and external dissemination.
  
• Contribute to ongoing improvements in reporting processes to align them with Building Tomorrow’s strategic goals.
  

Data Analysis

• Perform exploratory data analysis to understand patterns, trends, and outliers in program and operational datasets.
  
• Utilize statistical techniques and tools to extract meaningful insights and learnings.
  
• Create clear and informative visual representations of data using tools such as Salesforce, Tableau, and R statistical computing software.
  
• Incorporate third-party data and research into internal analysis.
  
• Build predictive models to forecast trends, make recommendations, or solve specific programmatic problems.
  

Quality Assurance and Coaching

• Build the capacity of field staff to collect accurate, valid, and reliable data by providing training and technical support.
  
• Conduct regular field visits to ensure data quality, performing data validation and cleaning as necessary.
  
• Ensure that all MEL activities adhere to ethical standards and best practices for data collection and analysis.
  
• Maintain high standards of data quality through regular cleaning, validation, and identification of data errors.
  

Facilitating Learning

• Translate complex data findings into actionable insights for non-technical staff and stakeholders.
  
• Facilitate learning discussions to inform decision-making and adjust strategies to enhance program effectiveness.
  
• Share learnings with program leads to contribute to continuous improvement in program and project planning.
  
• Promote a data-driven culture within the organization, encouraging staff to use data in decision-making processes.
  

Research

• Support the design and implementation of operational and impact evaluations, including experimental and quasi-experimental studies.
  
• Collaborate with academic and research partners to design studies, develop research protocols, and collect data.
  
• Analyze research data to draw actionable conclusions and make evidence-based recommendations.
  
• Contribute to research reports, working papers, and case studies that contribute to the evidence base in education and international development.