Sensing Data Analyst

Job highlights

• Required Qualifications: Master s (M Sc
• M Tech) degree in Remote Sensing,Geo-informatics,Agriculture,or related field.
• Preferred Skills: Experience with machine learning for crop classification or yield modeling. Ability to manage multiple tasks and deliver under tight timelines. Strong communication and stakeholder engagement skills. .

This a Full Remote job, the offer is available from: India
We are looking for a self-motivated Remote Sensing Data Analyst with proven
experience in PMFBY (Pradhan Mantri Fasal Bima Yojana) to support agricultural
insurance and monitoring projects. The role involves satellite data analysis,
GIS mapping, and report generation to aid decision-making.

Key
Responsibilities:
Analyze satellite imagery (optical and microwave) and 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 analysis to derive actionable insights.
Prepare detailed technical reports, summaries, and visualizations for stakeholders.
Collaborate with field team, and line departments, stack holder to understand requirement and validate findings.
Automate geospatial workflowsusing Python, Google Earth Engine, or similar platforms.
Maintain documentation of methodologies and ensure reproducibility of analysis.

Requirements

Required Qualifications:
Master s (M. Sc. / M. Tech) degree in Remote Sensing, Geo-informatics, Agriculture, or related field.
Minimum 2-4 years of xperience 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 in writing technical reports and presenting analytical findings.
Understanding of PMFBY guidelines, crop calendars, and agro-climatic zones in India.

Preferred Skills:
Experience with machine learning for crop classification or yield modeling.
Ability to manage multiple tasks and deliver under tight timelines.
Strong communication and stakeholder engagement skills.