Consultant - Geospatial Analyst
Council on Energy, Environment and Water (CEEW), New Delhi
Consultant (Geospatial Analyst) – Technology and AI
Terms of reference
At CEEW, we are deliberate about what we stand for (and what we
don’t stand for!) as an employer. So, if the below description strikes a chord,
we would love to hear from you!
At
CEEW, we build careers in public policy
· We offer strong visionary leadership – with emphasis
on research and impact at scale
· We actively promote leadership by initiative
· We celebrate talent and ambition
· You will be surrounded by smart people who will
challenge you and help you grow
· You will learn faster than your peers in other
organisations
· Curiosity and irreverence, as well as responsibility,
come together at CEEW
· You will get above-market remuneration
· We provide a safe space for all
· At CEEW, your life is your example for others
Designation offered
Consultant
Team/ Focus area
Technology & AI
Location
New Delhi, India
Reporting to
Lead, Technology & AI
Duration
12 Months (Opportunity for Full-time conversion)
Purpose
To support the
organization/project by performing geospatial data analysis, processing,
visualization, and developing automated workflows using Python, Google Earth
Engine (GEE), and QGIS. The Geospatial Analyst will contribute to various
projects by transforming raw spatial data into actionable insights and creating
informative map products.
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.