GIS Data Specialist​/Spatial Data Analyst

Key Responsibilities Spatial Data Management

• Prepare, maintain, and update geospatial datasets for applications, reporting, mapping, and analysis.
• Ensure data is accurately structured, documented, and traceable.

• Perform quality assurance checks on spatial data, including geometry validation, topology, projections, attributes, and area calculations.
• Identify, document, and resolve data quality issues.

• Conduct spatial analysis such as overlays, buffers, spatial joins, intersections, proximity analysis, and reporting-related investigations.

• Process and analyse satellite, drone, and elevation datasets.
• Support raster validation, clipping, mosaicking, reprojection, and raster-to-vector analysis.

• Assist with loading, validating, and querying spatial data within PostGIS or similar spatial databases.
• Support spatial reporting and data extraction requirements.

• Prepare spatial datasets for reports and dashboards.
• Document data sources, processing methodologies, and limitations.
• Support internal teams and contribute to the improvement and standardisation of GIS processes.

• Qualification in GIS, Geomatics, Geography, Environmental Science, Agriculture, Data Science, Information Systems, Computer Science, Engineering, or a related field.
• Experience with GIS data preparation, validation, analysis, and map production.
• Proficiency in QGIS, ArcGIS, or similar GIS platforms.
• Experience working with vector, raster, and remote sensing datasets.
• Strong understanding of coordinate systems, projections, and spatial data quality principles.
• Strong communication and problem-solving skills.

• Experience with PostGIS, PostgreSQL, Spatial SQL, or database-driven GIS environments.
• Agricultural, land management, farming, or infrastructure-related GIS experience.
• Knowledge of Python, R, SQL, Geo Pandas, GDAL/OGR, or GIS automation tools.
• Experience with satellite imagery, drone data, vegetation indices, zonal statistics, and spatial reporting.

• GIS analysis and mapping
• Spatial data validation and quality assurance
• Remote sensing and raster processing
• Spatial databases and SQL
• Metadata management and workflow documentation

• Strong attention to detail
• Analytical and problem-solving mindset
• Effective communication skills
• Ability to work independently and manage priorities
• Commitment to continuous learning and process improvement