- Analyze spatial and non-spatial datasets to identify patterns or trends
- Build models (e.g., spatial regressions, machine learning) to forecast or classify spatial phenomena
- Create visualizations (e.g., heatmaps, spatial clustering) for decision-makers
- Validate data outputs and refine product features using statistical techniques
- Advanced GIS use (QGIS, ArcGIS, MapInfo)
- Experience with spatial databases (SQL Server Spatial / PostGIS)
- Data extraction via APIs or web scraping
- Safe FME, Python/R/JavaScript, UK geospatial data knowledge, statistical analysis