Data Analyst – Remote Sensing

• Acquire, process, and analyze satellite imagery including Sentinel, Landsat, MODIS, and Planet, plus vegetation indices, rainfall, and soil moisture products
• Develop and maintain workflows for crop type mapping, crop condition monitoring, yield estimation, and loss assessment
• Validate remote sensing outputs using ground-truth data from crop cutting experiments and field surveys
• Work with field boundaries, GPS points, and administrative layers in GIS tools
• Support spatial sampling design for crop cutting experiments and surveys
• Run data quality checks on remote sensing and field-collected data following SOPs
• Identify gaps in quality-check SOPs and recommend improvements
• Configure surveys and allocate field agents on the in-house data collection tool
• Assist in survey creation and participate in crop cutting experiment and survey work as required
• Identify project risks and issues and propose practical solutions
• Determine appropriate methods for data analysis, quality checks, and operations assessment
• Document findings, prepare reports and maps, and make recommendations
• Develop and evaluate processes and procedures to improve project operations
• Draft training materials, protocols, and technical documentation
• Train field staff on new systems and processes
• Provide the manager with regular daily, weekly, and ad-hoc updates

• Bachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, Geography/Geoinformatics, Environmental Science, Information Systems, or a related field
• Minimum of 2 years of experience in data analysis, preferably in a fast-paced NGO or agri-tech environment
• Demonstrated experience working with satellite imagery or geospatial data
• Proficiency in Python and R, including geospatial libraries such as rasterio, geopandas, GDAL, sf, and terra
• Experience with GIS software such as QGIS or ArcGIS and cloud platforms such as Google Earth Engine
• Proficiency in data visualization tools such as Power BI or similar
• Knowledge of SQL
• Familiarity with mobile data collection tools such as CommCare, KoboToolbox, or SurveyCTO
• Knowledge of statistical methods for validation, sampling, and model evaluation
• Ability to explain complex technical information through clear writing and strong verbal communication
• Ability to turn technical data into presentations and maps for diverse audiences
• Strong collaboration skills and team spirit
• Self-driven, able to work independently with minimal supervision
• Ability to manage multiple tasks, prioritize, and meet deadlines
• Experience with agricultural insurance, index-based products, or smallholder farming contexts is nice to have
• Experience with SAR data, weather data, or cloud-based geospatial pipelines is nice to have

• No specific benefits or compensation extras stated