03 set - Milano
YO IT CONSULTING
Job Title
Geospatial Analysis Specialist
Job Type
Contract
Location
Remote
Job Summary
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
- Design, manage, and maintain spatial databases and ensure data integrity and accuracy across projects.
- Conduct advanced geoprocessing and spatial modeling using QGIS and integrate results into actionable insights.
- Develop, customize, and maintain QGIS plugins and extensions tailored to project specifications.
- Automate geospatial analysis workflows using Python (PyQGIS) to improve efficiency and reproducibility.
- Prepare high-quality cartographic maps and visualizations for reports, presentations, and decision support.
- Collaborate with cross-functional team members to understand requirements and transform them into geospatial solutions.
- Communicate complex technical concepts clearly in both written and verbal form to internal and external stakeholders.
Required Skills and Qualifications
- Expertise in QGIS, including spatial database management, geoprocessing, and map production.
- Strong proficiency in Python, with hands-on experience automating tasks within QGIS (PyQGIS).
- Thorough understanding of spatial projections, coordinate systems, and data transformation.
- Proven ability to customize QGIS through plugin development or scripting.
- Exceptional written and verbal communication skills for technical and non-technical audiences.
- Demonstrated ability to produce professional cartographic outputs tailored to various decision-making contexts.
- Strong organizational skills and attention to detail while managing multiple project priorities.
Preferred Qualifications
- Experience working in remote or distributed teams supporting external customers.
- Familiarity with additional open-source GIS tools or cloud-based geospatial platforms.
- Background in spatial analysis within industries such as environmental science, urban planning, or resource management.
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