Overview
Support the implementation of food loss and waste (FLW)-related activities, with a primary focus on data collection, analysis, implementation support, and reporting.
Key Responsibilities
- Support the implementation of food loss and waste (FLW)-related activities through data collection, validation, management, and collect, compile, review, and cross-check food loss and waste (FLW) data, statistics, and related information from multiple sources.
- Provide analytical and operational support for multidisciplinary projects. Manage, clean, and analyse datasets using statistical software (including Stata) and Excel, ensuring data quality, consistency, and proper documentation.
- Analyse and interpret quantitative data, and present results clearly through tables, charts, and analytical summaries.
- Contribute to reporting and briefing processes in line with FAO standards, including drafting, editing, and revising technical documents, reports, and publications.
- Support the development and improvement of data collection tools, methodologies, and analytical approaches.
- Contribute to the development of training materials and support the organization of workshops, seminars, meetings, conferences, and other capacity-building activities.
- Contribute to the preparation of technical outputs, including reports, briefs, and inputs to final reports.
- Support the identification of data gaps and contribute to improving analytical and monitoring approaches related to FLW activities.
Required Experience
- One year of relevant experience in food loss and waste, agrifood systems, food security, agricultural development, or related fields.
- Extent and relevance of experience in FLW, food security, agrifood systems, governance, policy support, or agricultural development.
- Demonstrated experience in data analysis, reporting, and coordination activities.
Qualifications
• University degree or technical degree certificate from an institution recognized by the International Association of Universities (IAU)/UNESCO in economics, agricultural economics, statistics, sustainable development, social sciences, or another field relevant to FAO’s work.
