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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.