Co-ordinate and partner with teams across sectors to assess and understand project needs, scope requirements and lead execution ensuring timely delivery
Oversee and provide mentorship to the analytics team on geospatial analyses and spatial modeling across domains
Research & Analysis
Conduct data exploration, quantitative research and provide customized analytical solutions and insights to meet project requirements
Advise staff and partners on geospatial analyses and visualizations on request
Technical Support & Outreach
Work with project teams to assess and organize complex data assets from a variety of sources for spatial modeling
Develop and execute Python and Google Earth Engine scripts for data acquisition, processing, and analysis
Contribute to written outputs, including peer-reviewed articles, WRI working papers, and blog posts
Qualifications and Requirements we seek:
Master s degree in Geography, Environmental Science, Earth Sciences, Geomatics, Geoinformatics, Remote Sensing, Civil Engineering or other related fields
7+ years of relevant work experience in the Geospatial industry
Proficiency in GIS software including ESRI ArcGIS Desktop 10.x, ArcGIS Server, ArcGIS Online, Quantum GIS, MapInfo or similar
Experience with coding, particularly Python, R, Javascript
Experience with Google Earth Engine is a strong plus
Experience in spatial analysis and modeling (e.g., use of ArcGIS Spatial Analyst tools, Model Builder, Python scripting, SQL or equivalent)
Experience in handling publicly available GIS datasets, crowd-sourcing platforms such as Open Street Maps and remote-sensing databases
Business modeling tools such as Tableau and PowerBI
Good understanding of predictive modeling and forecasting techniques
Experience with cloud computing and web development is a plus
