Portfolio Performance and MELIA Assistant
Portfolio Performance and MELIA Assistant
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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 projectlevel 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.
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.
Employment Type
Full Time
