Overview
The GIS and Renewable Energy Data Analyst will review and improve solar PV datasets, integrate socio-economic datasets, and produce geospatial analytical products to strengthen data-driven analysis for climate action and socio-economic resilience.
Key Responsibilities
- Reviewed and improved solar PV datasets for all project countries.
- Updated solar PV datasets and GIS layers that integrate additional socio-economic datasets.
- Produced geospatial analytical products, including thematic maps, statistical summaries, dashboards, and spatial analyses.
- Provided inputs into the existing toolkit and platform covering all data processing, validation methodologies, assumptions, statistical procedures, and GIS workflows.
- Prepared a comprehensive final technical report and presentation summarizing the methodology applied, improvements made to the datasets, analytical findings, limitations, and recommendations for future updates.
- Reviewed and assessed existing geospatial datasets of detected solar PV systems in Djibouti, Jordan, Lebanon, Syria, and Yemen to identify inconsistencies, data gaps, duplicates, quality issues, and potential sources of uncertainty.
- Conducted a comprehensive review of existing solar PV geospatial datasets, including an assessment of data quality, completeness, spatial accuracy, attribute consistency, metadata availability, and reliability.
Required Experience
A minimum of five years of experience working on data analytics related to energy or renewable energy is required. Demonstrated professional experience working on energy datasets is required.
Qualifications
A master’s degree in statistics, mathematics, GIS or related field is required. A first-level university degree with two additional years of relevant work experience may be accepted in lieu of the advanced university degree.
