GIS Data Analyst

An exciting opportunity exists for a GIS Data Specialist / Spatial Data Analyst to take ownership of geospatial data preparation, validation, analysis, and maintenance. This role plays a critical part in ensuring spatial datasets are accurate, reliable, and fit for operational, reporting, and analytical purposes.

You will work across vector, raster, and attribute datasets, supporting GIS workflows, remote sensing initiatives, reporting requirements, and spatial analysis activities. The successful candidate will collaborate closely with technical, project, data, and client-facing teams to improve data quality, standardise GIS processes, and strengthen confidence in geospatial information used across the business.

This is an ideal opportunity for a detail-oriented GIS professional who enjoys solving spatial challenges, working with complex datasets, and contributing to data-driven decision-making.

• Prepare, clean, transform, structure, and maintain GIS datasets for application workflows, reporting, and mapping requirements.
• Perform spatial data quality assurance, including geometry validation, topology checks, projection alignment, and attribute verification.
• Conduct GIS analysis using overlays, spatial joins, buffers, clipping, dissolves, aggregations, and proximity analysis techniques.
• Work with remote sensing and raster datasets, including satellite imagery, drone imagery, elevation surfaces, and vegetation index products.
• Support spatial database activities through data loading, validation, querying, and reporting dataset preparation.
• Document data processes, assumptions, limitations, and workflows while supporting stakeholders across technical and business teams.

• Degree or Diploma in GIS, Geomatics, Geography, Environmental Science, Agriculture, Data Science, Information Systems, Computer Science, Engineering, or a related field.
• Equivalent industry experience will also be considered.

• Practical experience in GIS data preparation, cleaning, validation, analysis, and reporting.
• Experience with QGIS, ArcGIS, or similar GIS software platforms.
• Experience working with vector data, attribute tables, projections, coordinate reference systems, and spatial data troubleshooting.
• Experience with remote sensing and raster datasets, including imagery validation and quality assessment.
• Ability to identify and resolve spatial data quality issues while documenting processing methodologies.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.

• QGIS, ArcGIS, Geo Package, Shape files, GeoJSON, and map production.
• Spatial analysis techniques including joins, overlays, buffers, clipping, and area calculations.
• Geometry validation, topology management, CRS/projection management, and data quality assurance.
• Raster and remote sensing workflows, including raster-vector integration and zonal statistics.
• Knowledge of PostGIS, PostgreSQL, spatial SQL, and database-backed GIS workflows will be advantageous.
• Exposure to Python, R, SQL, GDAL/OGR, Geo Pandas, satellite imagery, drone imagery, or automated GIS workflows will be beneficial.
• Strong analytical thinking, attention to detail, and problem-solving abilities.