Consultant - Geospatial Analyst

Purpose

Key Responsibilities

• ● Geospatial Data Analysis: Perform spatial analysis using QGIS, Python libraries (e.g., Geopandas, Rasterio, Shapely), and Google Earth Engine to address project-specific questions.
• ● Google Earth Engine Development: Develop, test, and implement scripts in Google Earth Engine for large-scale satellite imagery processing, time-series analysis, and environmental monitoring tasks.
• ● Python Scripting & Automation: Develop and maintain Python scripts to automate geospatial data processing workflows, data cleaning, format conversions, and integration tasks.
• ● Desktop GIS Operations: Utilize QGIS for data creation, editing, geoprocessing, management, and production of high-quality cartographic outputs.
• ● Data Management: Acquire, process, manage, and ensure the quality control of various vector and raster geospatial datasets from diverse sources.
• ● Visualization & Reporting: Create compelling maps, visualizations, and reports to communicate spatial patterns and analytical findings to technical and non-technical audiences.
• ● Collaboration: Work collaboratively with project teams, data scientists, researchers, and other stakeholders

Qualifications and Experience

• ● Education: Bachelor’s or Master’s degree in Computer Science (with relevant specialization), Geoinformatics, Remote Sensing, Environmental Science, or a closely related field.
• ● Experience: Minimum of 1-3 years of relevant professional experience in a geospatial data analysis role.
• ● Technical Skills:
• ○ Core GIS Concepts: Solid understanding of fundamental GIS principles, including map projections, coordinate systems, spatial data formats (vector, raster), geodatabases, and remote sensing basics.
• ○ Python programming, specifically for geospatial analysis using libraries like Geopandas, Rasterio,Shapely, NumPy.
• ○ GEE platform (JavaScript and/or Python API) for accessing, processing, and analyzing large geospatial datasets (e.g., Landsat, Sentinel, MODIS).
• ○ QGIS: Strong proficiency in using QGIS for a wide range of GIS tasks, including advanced analysis, data editing, and cartographic design.
• ○ Familiarity with cloud computing platforms (AWS, GCP, Azure), Experience with version control systems (e.g., Git), Experience with web mapping libraries (e.g., Leaflet, Mapbox GL JS)
• ○ Understanding of Geo-AI and ML concepts like decision trees, random forest, PCA etc.
• ● Analytical Skills: Strong problem-solving and analytical skills with the ability to interpret spatial data effectively.
• ● Communication: Good written and verbal communication skills in English

Compensation

• Competitive compensation – commensurate to the experience and matching the best of standards adopted by industry or other similar organisations for similar roles.

Application Process

• CEEW is an equal-opportunity employer, and the selection process does not discriminate on the basis of age, gender, caste, ethnicity, religion, or sexuality. Female candidates are encouraged to apply.
• Applications will be reviewed on a rolling basis. Interested applicants are advised to apply at the earliest possible. Only shortlisted candidates will be notified by us. We appreciate your interest.