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GIS Analyst

Job in 201301, Noida, Uttar Pradesh, India
Listing for: Successive Digital
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Data Engineer
Job Description & How to Apply Below
Role Overview
We are looking for a hands-on GIS Analyst to strengthen our growing Esri ArcGIS practice at
Successive Digital. This role is critical for building internal GIS capability, supporting client projects, enabling PoCs, and working closely with engineering teams on geospatial solutions across domains like Agriculture, Utilities, Smart Cities, Supply Chain, Disaster Management, and Enterprise
Location Intelligence. The ideal candidate is someone who is technically strong in ArcGIS or similar tools, comfortable working with spatial data end-to-end, and eager to contribute to capability
building, accelerators, and pre-sales support.

Key Responsibilities

1  . Spatial Data Analysis & Management
Perform spatial data analysis, validation, cleaning, transformation, and enrichment.
Work with vector and raster datasets (shape files, geodatabases, GeoJSON, imagery, DEMs, TIFFs, etc.).
Maintain spatial data layers, schemas, metadata, and documentation.
Ensure data accuracy, projections, coordinate systems, and performance optimization.

2. Esri ArcGIS Platform Expertise
Hands-on experience with:
○ ArcGIS Online
○ ArcGIS Pro
○ ArcGIS Enterprise
○ ArcGIS Business Analyst
Create and manage:
○ Web Maps, Web Apps, Dashboards, Experience Builder apps
○ Feature services, hosted layers, imagery layers
Support publishing, sharing, security, and role-based access control in ArcGIS environments.

3. Geoprocessing & Automation
Develop and customise geoprocessing tools and workflows.
Work on:
○ Geocoding & reverse geocoding
○ Spatial joins, buffering, overlays, and network analysis
Build and maintain ArcGIS Pro toolboxes, models (Model Builder), and scripts.
Automate workflows using Python (Arc Py) where applicable.

4. DLPK & Model Integration
Integrate and customise Deep Learning Packages (DLPKs) within ArcGIS workflows.
Support existing DL models for:
○ Feature extraction
○ Object detection
○ Classification use cases
Collaborate with AI/ML teams for model usage, validation, and improvements.

5. QGIS & Open GIS Tools
Use QGIS for analysis, visualisation, and interoperability.
Work with open GIS formats and ensure compatibility with Esri platforms when required.

6. Collaboration with Engineering & Product Teams
Work closely with frontend (React/Angular) and backend teams to support GIS integrations.
Assist in defining GIS data contracts, APIs, and workflows.
Support developers with spatial logic, analysis requirements, and testing.

7. Capability Building & Pre-Sales Support
Contribute to internal GIS accelerators, reusable assets, and PoCs.
Support pre-sales activities:
○ Data preparation
○ Demo setup
○ Technical inputs for proposals and client discussions
Help build domain-specific GIS use cases (Agri, Utilities, Smart Cities, etc.).

Required

Skills & Qualifications
Must-Have
4–5 years of hands-on experience in GIS / Spatial Analysis
Strong expertise in the Esri ArcGIS ecosystem

Experience with ArcGIS Online, Pro, and Enterprise
Solid understanding of geoprocessing, geocoding, and spatial analysis
Experience working with Python / Arc Py (basic to intermediate)
Working knowledge of QGIS
Strong problem-solving and analytical skills

Good to Have

Experience with ArcGIS Business Analyst
Exposure to Deep Learning in GIS (DLPKs)
Understanding of GIS integration with web applications
Domain exposure:
Agriculture, Utilities, Urban Planning, Logistics, or Smart Cities

Certifications (Plus Point)
Esri Technical Certification (Associate / Professional)
Any GIS, Remote Sensing, or Spatial Analytics certifications

Soft Skills & Mindset
Curious and eager to learn new GIS capabilities
Comfortable working in fast-paced, evolving environments
Good communication and documentation skills
Ownership mindset towards capability and practice building
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