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Remote Sensing Data Analyst at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Sensing Data Analyst. in . India. .. As a Sensing Data Analyst, you will leverage satellite imagery, GIS, and advanced geospatial analytics to support agricultural monitoring and insurance projects. You will play a pivotal role in analyzing remote sensing data for crop assessment, yield estimation, and calamity impact studies, providing actionable insights for decision-making. This role requires strong technical skills, including Python and Google Earth Engine, alongside the ability to automate workflows and generate clear visualizations and reports. You will collaborate closely with field teams, stakeholders, and line departments to validate findings and ensure the accuracy of analyses. Your work will directly contribute to improving agricultural resilience and supporting informed policy and operational decisions across farming communities.. . Accountabilities. Analyze optical and microwave satellite imagery and other geospatial datasets for crop monitoring and assessment.. Support PMFBY workflows including sowing detection, mid-season calamity impact assessment, crop classification, CCE planning, and yield estimation.. Perform spatial and statistical analyses to derive actionable insights for agricultural insurance and monitoring.. Prepare detailed technical reports, summaries, and visualizations for internal and external stakeholders.. Collaborate with field teams, line departments, and stakeholders to understand requirements and validate findings.. Automate geospatial workflows using Python, Google Earth Engine, or equivalent platforms.. Maintain documentation of methodologies and ensure reproducibility of analyses.. Master’s (M.Sc. / M.Tech) degree in Remote Sensing, Geo-informatics, Agriculture, or related field.. 2–4 years of experience in remote sensing and GIS, with direct involvement in PMFBY projects.. Proficiency in open-source GIS software and remote sensing platforms.. Strong skills in Python, Google Earth Engine, or R for geospatial data processing.. Experience preparing technical reports and presenting analytical findings.. Understanding of PMFBY guidelines, crop calendars, and agro-climatic zones in India.. Preferred: experience with machine learning for crop classification or yield modeling, ability to manage multiple tasks, and strong communication and stakeholder engagement skills.. . Company Location: India.