Remote Sensing Data Analyst (India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Remote Sensing, Geospatial Analysis, Python, Google Earth Engine, Crop Assessment, Statistical Analysis, Technical Reporting, GIS Software, Agro-Climatic Systems, Machine Learning, Data Processing, Collaboration, Documentation, Automation, Stakeholder Communication

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Sensing Data Analyst in India. In this role, you will leverage satellite imagery and geospatial datasets to support agricultural monitoring and insurance projects, contributing to critical decision-making processes. You will analyze optical and microwave imagery, perform crop assessments, and generate actionable insights to support PMFBY workflows. Collaborating with field teams and stakeholders, you will ensure accurate, reproducible analysis while automating processes for efficiency. The role offers an opportunity to work on high-impact agricultural projects in a dynamic, collaborative environment, combining technical expertise with applied research to deliver tangible results. Strong analytical skills, proficiency in Python or Google Earth Engine, and an understanding of agro-climatic systems are key to succeeding in this position. Accountabilities: · Analyze satellite imagery and geospatial datasets for crop monitoring, classification, and assessment. · Support PMFBY-related workflows including sowing detection, mid-season calamity assessment, CCE planning, and yield estimation. · Perform spatial and statistical analyses to generate actionable insights for decision-making. · Prepare detailed technical reports, summaries, and visualizations for internal and external stakeholders. · Collaborate with field teams, line departments, and stakeholders to validate findings and refine requirements. · Automate geospatial workflows using Python, Google Earth Engine, or similar platforms. · Maintain clear documentation of methodologies and ensure reproducibility of analyses. · Master’s degree (M.Sc. / M.Tech) in Remote Sensing, Geo-informatics, Agriculture, or a 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 programming skills in Python, Google Earth Engine, or R for geospatial data processing. · Experience in writing technical reports and presenting analytical findings. · Knowledge 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 under tight deadlines and strong stakeholder communication skills. · Competitive salary and compensation package. · Flexible work arrangements and remote work opportunity. · Professional growth and skill development in geospatial analysis and agricultural monitoring. · Exposure to high-impact projects in agriculture and government initiatives. · Opportunity to work with interdisciplinary teams on applied research and data-driven solutions. 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 3 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, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed 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 field teams and stakeholders to ensure accurate analysis and automate processes for efficiency.