Analyst - Data Science & Spatial Analytics

Job Description:

Responsibilities

• Data Management & Cleaning: Assist in cleaning, organising, and managing large datasets (survey, administrative, or satellite data) with a strong emphasis on accuracy and consistency.
• Geospatial & Remote Sensing Analysis: Support spatial data analysis using GIS tools such as QGIS, ArcGIS, or Google Earth Engine, including basic raster processing and mapping tasks.
• Programming & Data Processing: Write and maintain well-documented code in Python, R, or SQL for tasks such as data transformation, analysis, and automation of workflows.
• Collaborative Research Support: Work closely with senior researchers and fellow interns to contribute to policy-relevant research projects, including background research and data analysis.

Qualification & Experience

• Master’s, M.Phil., or Ph.D. in disciplines: Economics, Statistics, Computer Science, Geography, Urban Planning, Public Policy, Environmental Studies, or Related Quantitative Fields
• Proficiency in Python / R / SQL / GIS tools (QGIS, ArcGIS, or GEE) along with any data visualization tools (Tableau, Power BI, Plotly, etc.) is a must
• Any previous exposure to spatial econometrics/ machine learning/geospatial analytics/remote sensing will be advantageous
• Previous internship experience in working with large datasets(surveys, admin data, or satellite/remote sensing) is preferred
• Strong presentation skills with the ability to communicate complex ideas effectively
• Exceptional critical thinking and problem-solving skills
• Display strong interpersonal skills, humility, willingness to listen and excitement to learn at all times
• Self-driven, curious and adaptable personality with the ability to produce accountable work