Project-Linked Nato (Pln) Agenda 2030 - Analyst (Geoint Data)

14 set - Napoli
NATO - OTAN

OverviewIn this role you will contribute GEOINT data analysis to support NATO operations at JFC Naples.
You will work within the Geospatial Support Section to generate actionable intelligence and enhance situational awareness for planning and operations.
You will collaborate with intelligence, planners and COIs, and develop AI-assisted analytics for big-data.
This position offers exposure to multinational teams and a chance to shape GEOINT capabilities for joint missions.
Retribuzione / BenefitsNATO Defined Contribution Pension Scheme
competitive salary with allowances
definite duration contract (3 years)
opportunity to deploy for operations/exercises
nato security clearance eligibility
ResponsabilitàCollect geo-located information from military or open-source sources
Analyse geo-located information from unstructured documents
Evaluate big-data for actionable intelligence and geospatial analysis
Coordinate with Staff Assistant data manager to ensure geospatial information availability
Collaborate with intelligence analysts, planners and COIs to support operations and planning
Develop AI models for semi-automated analysis of big-data




Provide training, documentation, and technical guidance to users and stakeholders
Participate in the GEOINT/IMINT working group
Requisiti fondamentaliMinimum 4 years as geospatial analyst in a military organization
Minimum 2 years as geospatial data manager in a military organization
Strong knowledge of GIS (ArcGIS, ERDAS Imagine)
Cartography and geodesy foundation
Solid AI, machine learning concepts and programming for automated data analysis
Proficiency in Python or R for geospatial data processing
SQL for geospatial data storage
Familiarity with web-based GIS and geospatial web services
Experience with military intelligence workflows
Experience with Intelligence Preparation of the Battlefield or similar process
Experience with ArcGIS Online or Enterprise
Adaptable and proactive
Diplomacy and interpersonal skills
Teamwork and collaboration
GIS and GIS software (ArcGIS, ERDAS Imagine)
AI and ML for geospatial analytics
Python or R for data processing

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