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.

Experience

0–1 year of relevant experience; freshers with strong academic or project-based exposure are welcome.

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.