GIS Analyst I

Verisk Analytics, Inc.; Hyderabad; Sur place; INR 600 000 - 900 000; Plein temps

Résumé du poste

Verisk Analytics, Inc. is seeking a dependable GIS Analyst to deliver production-ready geospatial datasets through hands-on digitization, editing, and quality control. You will own day-to-day GIS production tasks end to end, with opportunities to contribute to semi-automation using Python, ArcPy, GDAL, and AI assistants, while validating all outputs.

The role emphasizes data standards, metadata, and scalable workflows as the team moves toward cloud-based geospatial workflows.

Qualifications

• 3–5 years hands-on GIS or remote-sensing experience
• Proficiency in ArcGIS Pro and QGIS for spatial analysis, digitization, mapping, and QC
• Strong understanding of coordinate systems, rasters/vectors, geoprocessing, geodatabases, topology validation, and data cleaning
• Working knowledge of remote-sensing imagery, elevation data, and LiDAR products for large geospatial datasets
• Python for GIS (ArcPy, libraries) and basic SQL skills
• Troubleshoot and modify scripts; automate GIS workflows
• AI-assisted scripting and prompt engineering; validate AI outputs

Responsabilités

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

Connaissances

GIS experience

ArcGIS Pro

QGIS

Python for GIS

ArcPy

GDAL

SQL basics

AI-assisted scripting

Formation

Bachelor's or Master's in GIS/Geoinformatics/Geography/Remote Sensing/Geomatics

Outils

ArcGIS Pro

QGIS

ArcPy

GDAL

Description du poste

Job Description

We are looking for a dependable, hands-on GIS Analyst to deliver accurate, production-ready geospatial datasets. The role is primarily focused on manual GIS compilation work which includes data capture, digitization, editing, cleaning, quality checks, and delivery, carried out per user and project requirements. You will own day-to-day GIS production tasks end to end and progressively contribute to workflow improvement and semi-automation using Python, AI assistants, and geospatial tools, as the team evolves toward cloud computing and cloud-native geospatial workflows.

Responsibilities

• Perform GIS production work - digitization, feature capture, editing, attribution, georeferencing, projection management, clipping, mosaicking, format conversion, and map preparation - using industry-standard GIS desktop tools.

• Create, clean, and maintain vector and raster datasets; run geometry repair, topology, duplicate, gap/overlap, attribute, and completeness checks before every delivery.

• Interpret satellite and aerial imagery, basemaps, and reference layers to capture or validate buildings, land use, infrastructure, terrain, and other exposure-related features.

• Process to DEM, DSM, DTM, LiDAR, contours, and elevation-derived data for terrain and building-height analysis under project guidance.

• Manage large datasets in common formats: File Geodatabase, GeoPackage, Shapefile, GeoTIFF, CSV, KML/KMZ, and GeoJSON.

• Follow SOPs, naming conventions, folder structures, metadata standards, and QC checklists; maintain traceability of source data and edits.

• Support semi-automation of repetitive steps using ModelBuilder, QGIS Processing Modeler, Python, ArcPy, GDAL, or related libraries.

• Leverage AI assistants such as Claude, where appropriate, to assist with coding, debugging, and developing GIS solutions, while reviewing and validating all AI-assisted output before use.

• Document methods, assumptions, data limitations, validation results, and reusable workflows clearly and professionally.

Qualifications

• 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.

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

Our Culture: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition: See why Verisk is consistently recognized as a Great Place to Work around the world.

Our Businesses: Learn about the diverse industries we serve - from insurance and energy to financial services and beyond.

Life at Verisk: Discover what it's like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether youre just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture.

Let’s build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veterans status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

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