GIS Data SpecialistSpatial Data Analyst

The GIS Data Specialist / Spatial Data Analyst is responsible for preparing validating analysing and maintaining geospatial datasets used within a geospatial SaaS platform supporting the South African agriculture sector.
The role manages spatial data including farms fields orchards crop areas infrastructure satellite and drone imagery elevation models and reporting datasets ensuring data quality accuracy and consistency. The position also supports spatial analysis remote sensing workflows troubleshooting and continuous improvement of GIS data processes.

• 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 GeoPandas 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

Apply now!

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