GIS Data Analyst

Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale! We operate at the intersection of ecological & environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI & ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we’re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.If this mission resonates with you, let’s talk.We are seeking a GIS Data Analyst to support the ingestion, processing, and analysis of geospatial data that powers the insights in our ecosystem management platform. In this role, you will work closely with flight operations, ecologists, data engineers, and data scientists to own the complete geospatial data processing workflow. You will be responsible for ingesting different types of raw data (drones, satellites, field, RGB, MSP, LIDAR to name a few) into the cloud, kicking off and monitoring processing pipelines (including photogrammetry, georeferencing, tiling, labelling), production of client-ready GIS products & insights (orthomosaics, maps, layers, etc), performing QA/QC, and generally being an expert on all things data! You will also support AI model development through preparation of training data, labelling and annotation, and publishing final maps and layers.This is a hands-on data analytics role (not software development) that requires strong exposure to multi-modal geospatial & remote sensing data, automated processing workflows, and data processing and visualization tools (such as Pix4D, MetaShape, LAStools, Capture Pro, QGIS, ArcGIS, Google Earth).Your Responsibilities Will IncludeIngestion, processing, analysis, and QA/QC of geospatial data of different types and sources (e.g., multispectral drone imagery, LiDAR, SAR, satellite data)Support the development and deployment of AI/ML algorithms for geospatial data processing and analysisBuild, manage, and query spatial databases (e.g., PostGIS, Oracle Spatial) to enable analytics and visualizationCollaborate with AI, robotics, and ecology teams to integrate geospatial data into autonomous mapping, seeding, and monitoring systemsPerform data validation, quality checks, and consistency monitoring across platformsDocument data pipelines, workflows, and system componentsStay up to date with GIS and geospatial data engineering best practices and contribute improvement ideasWhat are we looking for?Bachelor’s degree in Geospatial Science, Geography, Computer Science, Engineering, or a related field3+ years of experience in data analytics, geospatial data processing, or a related roleProficiency with GIS tools such as ArcGIS and QGISExperience working with spatial databasesFamiliarity with cloud platforms (e.g., AWS, Google Cloud) and data visualization toolsStrong problem-solving skills and ability to work effectively in a multidisciplinary teamPreferred Qualifications Experience processing and analyzing remote sensing data Exposure to ecological, environmental, or Earth observation datasetsFamiliarity with machine learning techniques applied to geospatial dataExperience working with large-scale or real-time data pipelines Apply with your CV and tell us what makes you & your experience a great fit for Nabat.How To ApplyAre you ready to embark on an exciting journey with Nabat? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.At Nabat, we’re not just building technology — we’re shaping the future of sustainable agriculture through innovation and collaboration. If you’re passionate about making a real-world impact and working alongside a diverse team of curious minds, we’d love to hear from you. Join us in transforming data into solutions that matter.