Overview
Leads socio-economic analysis for camp improvement planning and projects, including survey design, data compilation, and report preparation. Analyzes and integrates socio-economic study findings to advise on planning and decision-making.
Key Responsibilities
- Leads socio-economic analysis for camp improvement planning and projects, including planning, managing, designing surveys, data compilation, and preparing reports.
- Supervises consultants, as required and coordinate with project team, and community in conducting socio-economic surveys; ensure quality and timely deliverables; mobilize and train communities including youths and local institutions.
- Analyzes and integrates socio-economic study findings with different thematic areas of the Camp Improvement Plan (CIP) and advise on planning and decision-making.
- Coordinates and provide support in the development of GIS datasets to ensure mapping of socio-economic indicators during spatial analysis.
- Coordinates with relevant UNRWA programmes/departments (Health, Education, Relief & Social Services) to acquire and analyze relevant data and share findings.
- Reviews, revises and conducts assessments of socio-economic aspects of the Camp Improvement Planning including impact assessment, shelter assessment and post-occupancy assessments for implemented projects.
- Provides support in complying with protection principles in camp improvement work and projects such as shelter rehabilitation and public spaces.
- Provides technical support in conducting pre-feasibility and developing indicators for monitoring camp improvement projects and advising on risks and mitigation measures.
- Performs tasks assigned by the supervisor.
Required Experience
- At least 4 years of experience in planning and implementing socio-economic projects.
- Experience in analyzing large sets of socio-economic data utilizing statistical tools and software.
- Experience in participatory approaches and data collection.
Qualifications
• A university degree in social studies, economic studies, statistics or related field from an accredited university/institution.
