GIS Analyst I

Verisk

. Perform GIS production work including digitization, feature capture, editing, attribution, georeferencing, projection management, clipping, mosaicking, format conversion, and map preparation.

Posted 10/15/2026full-timeHyderabad • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GIS production, including data management, spatial analysis, and automation of workflows using tools like ArcGIS Pro and QGIS. Proficient in interpreting remote-sensing imagery and managing large geospatial datasets while adhering to quality control standards.

Highest-signal resume keywords

GIS Production WorkArcGIS ProQGISPython for GISRemote-Sensing Imagery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DigitizationFeature CaptureGeoreferencingData CleaningTopology ValidationGeospatial Data ManagementGeometry RepairAttribute ChecksModelBuilderAI-Assisted Scripting

Tools & Technologies

ArcPyGDALFile GeodatabaseGeoPackageShapefileGeoTIFFCSVKML/KMZGeoJSONQGIS Processing Modeler

Industry Keywords

GeoinformaticsRemote SensingGeographyGeomaticsCivil EngineeringEnvironmental EngineeringCoordinate SystemsRaster DataVector DataElevation Data

Tech Stack

Tools & technologies

PythonRemote SensingSQL

About the role

Key responsibilities & impact

Perform GIS production work including digitization, feature capture, editing, attribution, georeferencing, projection management, clipping, mosaicking, format conversion, and map preparation.
Create, clean, and maintain vector and raster datasets.
Run geometry repair, topology, duplicate, gap/overlap, attribute, and completeness checks before delivery.
Interpret satellite and aerial imagery, basemaps, and reference layers to capture or validate buildings, land use, infrastructure, terrain, and exposure-related features.
Process DEM, DSM, DTM, LiDAR, contours, and elevation-derived data for terrain and building-height analysis.
Manage large geospatial datasets in File Geodatabase, GeoPackage, Shapefile, GeoTIFF, CSV, KML/KMZ, and GeoJSON formats.
Follow SOPs, naming conventions, folder structures, metadata standards, and QC checklists; maintain source-data and edit traceability.
Support semi-automation using ModelBuilder, QGIS Processing Modeler, Python, ArcPy, GDAL, or related libraries.
Use AI assistants such as Claude for coding, debugging, and GIS solutions while reviewing and validating AI-assisted output.
Document methods, assumptions, data limitations, validation results, and reusable workflows.

Requirements

What you’ll need

Bachelor’s or Master’s degree in GIS, Geoinformatics, Geography, Remote Sensing, Geomatics, Civil/Environmental Engineering, or a related discipline.
3–5 years of hands-on GIS or remote-sensing experience; strong practical capability may also be considered.
Proficiency in ArcGIS Pro, QGIS, or equivalent tools for spatial analysis, digitization, cartography, and quality control.
Strong understanding of coordinate systems, raster/vector data, geoprocessing, geodatabases, topology validation, and data cleaning.
Working knowledge of remote-sensing imagery, elevation data, and LiDAR products, with the ability to manage large geospatial datasets accurately.
Basic-to-intermediate Python for GIS, familiarity with ArcPy or open-source geospatial libraries, and basic SQL skills.
Ability to troubleshoot and modify existing scripts and automate repetitive GIS workflows.
Familiarity with AI-assisted scripting and prompt engineering, including validation of AI-generated code and results.

Benefits

Comp & perks

Short Term Incentive: Yes
Hybrid work arrangement
Equal opportunity employment
Growth and professional development opportunities
People-first, inclusive workplace culture