Geospatial Data Analyst

11 hours ago

Lucknow, Uttar Pradesh, India beBeeGeographic Full time ₹ 9,00,000 - ₹ 12,45,000

About Us

We are a leading provider of geographic information system (GIS) software, location intelligence, and mapping solutions. We have been empowering customers to unlock the full potential of their data since 1996.

We have successfully delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations across various sectors, including government, private sector, academia, and non-profit.

Our unique solution is designed specifically for government organizations, enabling them to leverage GIS and location intelligence effectively.

In collaboration with a rich ecosystem of partner organizations, we deliver innovative GIS-based solutions that cater to diverse customer needs.

Headquartered in Noida, our organization boasts 1 million users in the country and holds the Great Place to Work Certification for three consecutive years.

Role Overview

We are seeking a highly skilled GIS Data Specialist to support informed decision-making through geospatial data collection, analysis, and interpretation.

Experience with ESRI products, particularly ArcGIS Enterprise, Image Analyst Extension, and Data Reviewer Extension, is preferred.

  • Data Collection and Management: Search, collect, process, and manage large datasets, including GIS data, satellite imagery, and other spatial data sources.
  • Validate and ensure the accuracy, quality, and completeness of spatial data using image analysis techniques like band combinations, pixel depth, and image strip artifacts removal.
  • ETL operations: Conduct ETL operations between GIS applications/database using Esri Desktop or Server, or collaborate with third-party vendors to deploy solutions based on business requirements.
  • GIS Analysis and Mapping: Conduct spatial analysis, map creation, and geospatial model development to aid various projects and initiatives.
  • Data Quality Assurance: Ensure data accuracy, completeness, and consistency through quality checks and resolution of data discrepancies using ArcGIS Data Reviewer.
  • Cross-Functional Collaboration: Collaborate closely with stakeholders, including project managers, analysts, and external partners, to comprehend data requirements.
  • Create training materials and conduct trainings to customers as required.
  • Support trade shows and Esri conferences as required.
  • Stay Up to Date with Industry Trends: Engage in continuous professional development to uphold expertise in GIS technology, data analysis, and AI.

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