Geospatial Analyst

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About Us

Aaizel Tech Labs is a pioneering tech startup at the intersection of Cybersecurity, AI, Geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Job Summary

We are seeking a talented Geospatial Analyst to join our R&D team and contribute to the development of next-generation geospatial products. You will be involved in data acquisition, spatial analysis, and visualization, driving innovative solutions across domains like remote sensing, smart cities, precision agriculture, and environmental monitoring.

Key Responsibilities:

1. Geospatial Data Acquisition and Processing:

• Collect and process high-resolution satellite imagery, LiDAR data, and drone-acquired datasets.
• Use remote sensing software (ENVI, ERDAS) to preprocess data, including radiometric corrections, georeferencing, and orthorectification.

2. Spatial Analysis and Modelling:

• Develop spatial models and algorithms for applications such as land use classification, change detection, and object recognition in geospatial data.
• Implement advanced GIS techniques, including spatial interpolation, hydrological modelling, and network analysis.

3. Visualisation and Cartography:

• Create detailed and interactive maps, 3D models, and geospatial visualisations using ArcGIS, QGIS, and Mapbox.
• Utilise tools like Blender and Unity for 3D environmental modelling and simulation.

4. Data Integration and Database Management:

• Integrate geospatial data with other data sources (IoT, GPS, weather data) for comprehensive analysis.
• Design and manage spatial databases using PostgreSQL/PostGIS, ensuring efficient data storage and retrieval.

5. Advanced Geospatial Analytics:

• Develop custom scripts in Python or R for spatial data analysis, including machine learning applications like predictive modelling and anomaly detection.
• Apply geostatistical methods (Kriging, Moran’s I) for environmental impact assessments and resource management.

6. Collaboration and Reporting:

• Collaborate with AI/ML engineers, software developers, and project managers to integrate geospatial insights into broader tech solutions.
• Prepare detailed analytical reports, dashboards, and presentations to communicate findings to stakeholders

7. Tool Development and Automation:

• Develop automated geospatial tools using APIs (Google Earth Engine, OpenStreetMap) to streamline data analysis workflows.
• Implement automated change detection systems for monitoring environmental changes or urban expansion.

Required Skills, Qualification and Experience:

• Educational Background: Master’s in Geoinformatics, Remote Sensing, or related field; strong preference for candidates from preferably top-tier institutions.
• Experience: 3-5 years of experience with a strong portfolio of completed projects
• Technical Skills:
• Proficiency in GIS software (ArcGIS, QGIS) and remote sensing tools (ENVI, ERDAS).
• Experience with programming languages (Python, R) for geospatial data manipulation and analysis.
• Familiarity with cloud-based geospatial platforms like AWS S3, GCP Earth Engine, or Azure Maps.
• Strong understanding of spatial databases (PostgreSQL/PostGIS) and geospatial data standards (GeoJSON, WMS/WFS).
• Problem-Solving: Ability to solve complex spatial problems using data-driven approaches and innovative techniques.
• Communication: Strong presentation skills to convey complex geospatial information clearly to technical and non-technical stakeholders.
• Attention to Detail: High level of precision in geospatial data processing and analysis.

Application Process:

To apply, please submit your resume and a cover letter detailing your relevant experience and enthusiasm for the role to hr@aaizeltech.com or Bhavik@aaizeltech.com or anju@aaizeltech.com (Contact No- 8493801093)