Valencia
Job Highlight The ICT Officer – Geospatial Analyst plays a key role in delivering geospatial and image intelligence services in support of emergency response, peace operations, and political missions worldwide. The position involves applying advanced geospatial, imagery, and analytical techniques to support situational awareness, operational planning, and decision-making in complex and often time-sensitive environments. The role contributes to global operations while ensuring compliance with UN policies, standards, and best practices. Role Purpose The purpose of this role is to provide timely, accurate, and actionable geospatial intelligence and advanced geo-analytics in support of UN field missions and headquarters. The incumbent applies geospatial data science, remote sensing, GeoAI, and multi-source analytical methodologies to support situational awareness, operational planning, early warning, and decision-making in complex operational environments. The role ensures that analytical processes, data workflows, models, and tools are applied consistently and in accordance with recognized industry standards, while aligning all activities with UNGSC business objectives and applicable UN policies, rules, and regulations. The incumbent supports the coordinated delivery of operational geospatial intelligence services across global locations and mission contexts through innovative, scalable, and quality‑assured analytical solutions. Functions / Key Results Expected Summary of Key Functions: Analysis Innovation Coordination, and Quality Control Analysis Supports the development and delivers Geospatial Intelligence (GeoINT) products and operational geo‑analytics to support UN peacekeeping, political, and humanitarian decision‑making through integrated geospatial and multi‑source analytical workflows. Conduct event‑based geospatial analysis before and after incidents, including rapid assessment of air and missile strikes, drone attacks, conflict incidents, and humanitarian emergencies using multi‑temporal satellite imagery and spatial analysis techniques. Contributes to Image Intelligence (IMINT) analysis to identify, assess, and quantify impacts on populated areas, including burned settlements, damaged infrastructure, affected IDP camps, and transportation networks using optical, SAR, thermal, and very‑high‑resolution imagery. Helps in delivering integrated IMINT / GEOINT / OSINT analysis by combining satellite imagery, UAV data, open‑source reporting, geolocated multimedia content, and authoritative datasets to support situational awareness and operational planning. Assists in Conduct advanced spatial, temporal, and terrain analysis, including time‑series analysis, change detection, hotspot analysis, accessibility modelling, shadow analysis, and pattern identification across areas of operational interest. Build spatiotemporal analytical models to monitor conflict dynamics, detect trends in violence indicators, population displacement, armed group activity, and territorial influence. Contribute to OSINT‑enabled geospatial investigations to corroborate imagery findings, validate analytical outputs, and provide contextual intelligence through integration of social media content, event databases, and digital location traces. Apply data science, machine learning, and spatial statistics to support predictive and probabilistic geospatial risk assessments, anticipatory action, and operational early warning. Innovation Helps in the development and application of innovative geospatial and image analysis methodologies, including GeoAI, computer vision, machine learning, and deep learning techniques for automated feature extraction, classification, and change detection. Supports the design and implementation of automated geospatial pipelines and scalable analytical workflows for incident monitoring, hotspot detection, trend analysis, feature extraction, and operational dashboards. Integrates multi‑sensor and multi‑source data into reproducible analytical environments, ensuring proper documentation, versioning, and methodological consistency. Leverages emerging geospatial technologies, cloud‑based analytical platforms, and automation tools while maintaining expert human analysis as a critical validation layer. Assists in the development of automated hotspot detection and Area of Concern (AoC) identification workflows using clustering methods, environmental indicators, accessibility models, exposure layers, and conflict event datasets. Management and Coordination Coordinates with clients and stakeholders to translate operational needs into short‑ and medium‑term analytical requirements. Ensures effective collaboration across analytical, technical, and operational teams. Quality Control and Reporting Integrate multi‑source findings into clear, decision‑ready analytical assessments and operational narratives. Assists in producing high‑quality geospatial intelligence outputs, including maps, annotated imagery, dashboards, and analytical reports using ESRI and related geospatial tools. Applies quality assurance and validation procedures to ensure analytical rigor, consistency, and reliability of geospatial products and models. Ensures compliance with UN standards, operational requirements, and information management protocols. Perform other duties as may be reasonably required and in line with the incumbent’s scope of services. Education Requirements Required: Advanced university degree (Master’s degree or equivalent) preferably in remote Sensing, Geospatial Information Systems (GIS), Geography, Geology, or related fields OR A first‑level university degree (Bachelor’s degree) preferably in remote Sensing, Geospatial Information Systems (GIS), Geography, Geology, or related fields with two (2) years of experience. Demonstrated proficiency in Python scripting for geospatial analytics, data processing, and workflow automation, preferably within ArcGIS and related geospatial environments. Desired: Relevant professional certifications in ArcGIS Pro, Synthetic Aperture Radar (SAR), and optical remote sensing. Experience Requirements Required: Relevant experience is defined as experience in Remote Sensing/Imagery Analysis, GIS/Geospatial Analysis or related fields. Professional knowledge of ArcGIS, ERDAS Imagine, or comparable geospatial/image analysis software system/platform. Experience in imagery intelligence, preferably in a military or humanitarian context. Professional experience with GeoAI techniques applied to geospatial or Earth observation data. Desired: Professional experience working with satellite Earth Observation datasets and large‑scale geospatial data processing environments. Good written and verbal communication skills. Professional experience of digital cartography in a GIS environment. Professional experience in statistical analysis using enterprise office software (e.g. 'R'). Ability to document analytical workflows and communicate technical findings clearly to both technical and non‑technical audiences. #J-18808-Ljbffr