Remote Sensing Data Analyst at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Remote Sensing, GIS, Geospatial Analytics, Python, Google Earth Engine, Crop Assessment, Yield Estimation, Statistical Analyses, Technical Reporting, Data Visualization, Machine Learning, Stakeholder Engagement, Open-Source GIS, Agro-Climatic Zones, PMFBY Guidelines

Industry

Internet Marketplace Platforms

Description

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. Remote work flexibility with a collaborative, technology-driven environment. Opportunities to work on impactful projects improving agricultural resilience. Professional development and skill-building in geospatial analytics and machine learning. Exposure to national agricultural insurance programs and policymaking. Inclusive and supportive workplace culture fostering innovation and teamwork. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Analyze satellite imagery and geospatial datasets to support agricultural monitoring and insurance projects. Collaborate with teams to validate findings and automate workflows for actionable insights.