Geo Lands Doctor
Website:
landsdoctor.com
Job details:
Company Description Geo Lands Doctor India (Lands Doctor) is among the first civilian solutions in India focused on asset monitoring and management using GIS, data analytics, and remote sensing.
The product integrates field-based evaluations with drone technology to capture detailed ground-level information. Supported by satellite imagery, Lands Doctor provides continuous monitoring of land assets on a monthly or tri-monthly basis. This subscription-based model helps customers track land changes, mitigate risks, and make informed decisions. The organization is committed to advancing geospatial innovation for practical, real-world land management challenges.
Role Description This is a hybrid full-time, on-site Geospatial Analyst role based in Hyderabad. The Geospatial Analyst will collect, process, and manage geospatial data from drones, satellite imagery, and other sources to support land monitoring and evaluation. Daily responsibilities include performing imagery analysis, building and maintaining GIS layers, generating maps and visualizations, and supporting data-driven insights for customers. The role involves collaborating with field teams, validating data quality, and preparing analytical reports and dashboards for internal stakeholders and clients. The Geospatial Analyst will also contribute to refining workflows and tools that enhance the accuracy and efficiency of land monitoring solutions.
Qualifications:
- Ability to work with geospatial data and apply strong analytical skills to interpret land-related information.
- Experience of 1-3 years in core geospatial intelligence and imagery analysis for monitoring and assessing land use and changes.
- Proficiency in Geographic Information Systems (GIS) tools and platforms (e.g., QGIS, ArcGIS or similar).
- Knowledge of remote sensing concepts and familiarity with satellite and drone data workflows.
- Bachelor’s degree in Geography, Geoinformatics, Environmental Science, Engineering, Data Science, or a related field.
- Strong attention to detail, problem-solving skills, and the ability to document methods and results clearly.
- Comfort working in an on-site, collaborative environment and communicating findings to technical and non-technical stakeholders.
- Experience with scripting or programming for geospatial analysis (e.g., Python, R) and basic data visualization tools is an advantage.
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