GIS Analyst

Job highlights

• Demonstrated hands-on experience with ESRI ArcGIS Pro and / or QGIS,gained through academic projects,internships,or professional work
• Bachelor s or Master s degree in Geography,Geoinformatics,Environmental Science,Geomatics,or a related field
• Basic programming skills for automation,preferably in Python (e.g
• Experience

Experience

0-0

Location

Bengaluru

Description

We are seeking a Geospatial Analyst to collect, analyse, and visualise spatial data in support of research on climate, energy, and sustainability.

Responsibilities

• Collect, create, edit, and manage spatial and tabular data using ESRI ArcGIS Pro and/or QGIS.
• Perform core spatial analyses and geoprocessing tasks (e.g. overlay analysis, spatial queries, and zonal statistics) to support research projects.
• Conduct rigorous quality assurance and quality control (QA/QC) on geospatial data and outputs.
• Develop clear, concise, and publication-quality static maps and figures for reports, briefs, and presentations.
• Provide geospatial support to a multidisciplinary team of researchers and analysts.
• Document data sources, methodologies, and analytical workflows with precision.
• Stay updated on emerging trends, tools, and technologies in the geospatial field.

Qualifications

• Bachelor s or Master s degree in Geography, Geoinformatics, Environmental Science, Geomatics, or a related field.
• Strong foundational knowledge of GIS concepts, cartographic design, and spatial analysis.
• Demonstrated hands-on experience with ESRI ArcGIS Pro and/or QGIS, gained through academic projects, internships, or professional work.

Skill Set

• Genuine interest in applying geospatial skills to climate, energy, and sustainability challenges.
• Strong analytical and problem-solving abilities with keen attention to detail.
• Excellent written and verbal communication skills.
• Familiarity with tools such as Google Earth Engine (GEE) for satellite data analysis is an added advantage.
• Basic programming skills for automation, preferably in Python (e.g. Pandas, GeoPandas, Rasterio), will be valued.
• Knowledge of remote sensing concepts (e.g. spectral indices like NDVI and NDBI) is desirable.
• A portfolio of academic or personal projects (e.g. GitHub repository or online map portfolio) will be considered a strong plus.