GIS Data Analayst
5 days ago
Role Overview
Take ownership of preparing and maintaining geospatial datasets using QGIS (or similar tools) to support our R&D and production workflows.
Key Responsibilities
- Ingest and manage large geospatial datasets (e.g., Shapefile, GeoJSON, etc).
- Filter, clean, and organize layers per project requirements.
- Perform spatial operations (select, clip, merge, join) and export deliverables.
- Document processes and maintain versioned datasets.
Requirements
- Bachelor's in CS/Civil/Geomatics or related field.
- Hands-on experience with QGIS.
- Understanding of
GIS data formats and
coordinate systems. - Strong attention to detail and structured documentation.
Preferred
- Experience with spatial joins, tiling/gridding, and geoprocessing automation.
- Familiarity with GDAL/OGR or Python libraries (GeoPandas, PyQGIS).
- Exposure to road-network datasets.
- Comfort working with large datasets and optimizing performance.
What We Offer
- Opportunity to work on impactful road-safety products with global recognition.
- Collaborative environment bridging GIS, automotive R&D, and international partners.
- Growth path into advanced data engineering roles.
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