Data Analyst · Hyderabad

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 teams, and line departments, stack holder to understand requirement and validate findings.
  
• Automate geospatial workflows using Python, Google Earth Engine, or similar platforms.
  
• Maintain documentation of methodologies and ensure reproducibility of analysis.

Required Qualifications:

• Master’s (M.Sc. / M.Tech) degree in Remote Sensing, Geo-informatics, Agriculture, or related field.
  
• Minimum 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 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.