Portfolio Performance and MELIA Assistant

Job Description

Support identification of Key Performance Indicators (KPIs) :

Review grant agreements and technical reports to identify institutional KPIs aligned with project objectives.

Support measurement of project-level KPIs :

Analyze resources in the internal MELIA system (e.g., technical and evaluation reports) to inform KPI measurement; extract, validate, and input relevant data into the MELIA system; perform data cleansing, validation, and documentation to ensure accuracy and consistency; address data gaps, outliers, and inconsistencies while maintaining detailed records of processes; provide regular progress updates to the Quality for Impact (Q4I) Team Leader (TL).

Support assessment of research and knowledge uptake :

Screen project documentation (e.g., technical, trip, and workshop reports; communication products); identify and log information on knowledge and research uptake by stakeholders in the MELIA system; upload relevant supporting documents and report progress to the Q4I TL.

Support evaluation of the portfolio’s MELIA strengths :

Locate and catalog key MELIA documents, including theories of change (ToCs), logical frameworks, MELIA plans, and evaluation reports; upload these documents into the MELIA system for easy access and tracking; provide status updates to the Q4I TL on the availability of required documentation.

General administrative and support tasks :

Perform other duties as assigned to support the team’s objectives.

Requirements

• Minimum a bachelor’s degree in a relevant field such as Statistics, Economics, Social Sciences, Development Studies, Environmental Sciences, or a related discipline.
• Minimum 2-4 years of experience (including internships) in MELIA, data collection, or project performance tracking.
• Experience reviewing reports, extracting relevant data, and maintaining data systems is an advantage.
• Basic to intermediate proficiency in Microsoft Excel, including data entry, sorting, and basic analysis (e.g., formulas, pivot tables).
• Familiarity with data management or monitoring and evaluation tools (e.g., SPSS, Power BI, STATA, or similar) is an advantage.
• General understanding of monitoring and evaluation principles, including key concepts like KPIs, logical frameworks, and theories of change.
• Awareness of development or environmental project contexts, particularly in research or non-governmental organizations, is preferred.
• Proficiency in English (spoken and written) is essential.