Key Responsibilities: Collect, process, and manage spatial data from various sources including satellite imagery, field surveys, and geological reports Conduct spatial analysis and modelling to assist in the identification of geological features such as faults, mineral deposits, and landforms Create detailed maps and visual representations of geological data for use in reports, presentations, and planning Work closely with geologists, engineers, and environmental scientists to integrate spatial data into geological models and decision-making processes Participate in field surveys to collect GPS data, geological samples, and ground-truthing for spatial data accuracy Use GIS software such as ArcGIS, QGIS, and MapInfo to generate 2D and 3D models and visualizations of geological data Prepare and present reports, maps, and data interpretations to management and stakeholders Assist in environmental impact assessments, resource management, and land use planning by interpreting spatial data Ensure the accuracy and integrity of GIS data through regular updates and verification processes Use remote sensing techniques and imagery to analyze land cover, geology, and environmental changes Minimum requirements: Bachelors or Masters degree in Geology, Geography, Earth Sciences, or related field with a focus on GIS Proficiency in using GIS software like ArcGIS, QGIS, MapInfo, or similar tools for spatial data analysis and mapping Proven experience in GIS and Remote Sensing data and software such as ENVI, or ERDAS IMAGINE, ideally in the mining sector Proven experience in mineral exploration and natural resource management Strong understanding of geological concepts, including stratigraphy, mineralogy, and geophysics Ability to manage large datasets and ensure data integrity Ability to produce high-quality maps and visualisations for diverse purposes Strong problem-solving skills with the ability to analyze and interpret spatial and geological data Strong written and verbal communication skills for reporting and presenting findings Willingness to participate in fields data collection and sample analysis