Position: Spatial Data Analyst /GIS Officer
Closing Date: 11 April 2025
Contract: 2-year renewable contract Location: Liberia
The GIS/RS expert will take on the responsibility for spatial data management at the project location and to consolidate the activities implemented by partners at their various locations. The GIS/RS expert will be a nationally recruited professional with proven experience in similar projects.
DUTIES
- Create and modify environmental GIS datasets such as soil, climate, hydrology and terrain layers.
- Manage and maintain legacy GIS datasets.
- Spatial data processing and management at project locations.
- Stakeholder engagement in terms of data sharing and management.
- Consolidation of data from partners.
- Perform spatial data analysis and modelling using ArcGIS, ArcGIS Pro or QGIS, R or Python.
- Processing and analysis of remote sensing data products such as LANDSAT and SENTINEL 2 to derive environmental variables such as land-use, land cover, soil attributes.
- Map production with high-quality and professional cartographic designs.
- Provide technical guidance in GIS data collection, processing and management to the project team.
Requirements
QUALIFICATION:
- The candidate should have an MSc degree in GIS, geography, environmental studies, or related field with demonstrated capabilities in vector and raster GIS.
- Experience using Python, R, or ModelBuilder scripting language is desirable, as job duties will include creating scripts to streamline frequently performed tasks.
- Hands-on knowledge of Esri ArcGIS desktop software, including ArcMap and ArcPro or QGIS.
- Familiar with GPS data collection and data management.
- Experience working with different coordinate systems, map projections, and datum.
- Ability to independently manage multiple assignments, determine and set job task priorities, and work with limited direct supervision.
COMPETENCIES:
The ideal candidate must:
- Have demonstrated experience in geographical and remote sensed data management.
- Have At least 3 years’ experience in the field of GIS/RS.
- Be experienced working with partners from academia, government institutions, NGOs, and national agricultural research centers in the context of smallholder farming systems in Africa.
- Have demonstrated ability to work in multicultural and diverse environments.
- Have excellent written and oral communication skills in English.
Benefits
We offer highly competitive salary with equally attractive benefits and excellent working conditions in a pleasant campus environment.