Geospatial/Remote Sensing Analyst

Data Science & Research Trier, Rheinland-Pfalz, Germany

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Summary

Geospatial Data Analyst with strong applied experience gained through research internships and advanced academic projects in remote sensing, GIS, and environmental data analysis. Skilled in working with multi-source geospatial data, including satellite imagery (MODIS, Sentinel-2), LiDAR, UAV, and climate datasets (ERA5). Experienced in building dynamic monitoring tools using Google Earth Engine and Python for environmental applications such as forest mapping, land cover classification, and time series analysis. Contributed to projects across Southern Africa and Europe, with a focus on sustainable land use, forest health, and ecosystem monitoring. Adept at translating complex spatial data into actionable insights through maps, dashboards, and interactive web apps. Known for being analytical, adaptable, and collaborative, with strong communication skills and a commitment to using geospatial technology to support climate resilience, conservation, and sustainable development goals.

Expectations

Im excited to bring my passion for geospatial technology to a dynamic team where I can tackle real-world challenges through innovative remote sensing and GIS solutions. I thrive on turning complex spatial data into powerful insights that drive sustainable development and environmental impact. I love collaborating with diverse teams, learning new skills, and pushing the boundaries of what geospatial analysis can achieve. Whether its a contract or permanent role, remote or onsite, Im ready to jump in and make a meaningful difference!