GIS Data Specialist/Spatial Data Analyst
Executive Placements · Adelaide
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Start free — we apply for you →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.
Data Quality & Validation
- Perform quality assurance checks on spatial data, including geometry validation, topology, projections, attributes, and area calculations.
- Identify, document, and resolve data quality issues.
Spatial Analysis
- Conduct spatial analysis such as overlays, buffers, spatial joins, intersections, proximity analysis, and reporting-related investigations.
Remote Sensing & Raster Data
- Process and analyse satellite, drone, and elevation datasets.
- Support raster validation, clipping, mosaicking, reprojection, and raster-to-vector analysis.
Spatial Database Support
- Assist with loading, validating, and querying spatial data within PostGIS or similar spatial databases.
- Support spatial reporting and data extraction requirements.
Reporting & Stakeholder Support
- 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.
Minimum Qualifications & Experience
Required
- 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.
Advantageous
- 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.
Key Competencies
Technical
- GIS analysis and mapping
- Spatial data validation and quality assurance
- Remote sensing and raster processing
- Spatial databases and SQL
- Metadata management and workflow documentation
Behavioural
- Strong attention to detail
- Analytical and problem-solving mindset
- Effective communication skills
- Ability to work independently and manage priorities
- Commitment to continuous learning and p
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