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.