The imagery analyst will work closely with end -users to operationalize imagery analytics
tools, process real -world datasets, and translate algorithmic outputs into actionable insights.
The role bridges technical execution, product feedback, and client engagement to help
shape future product features.
Key Responsibilities
â Execute multi -temporal image processing workflows using packaged
change -detection applications on client datasets.
â Conduct training sessions, develop quick -reference guides, and demonstrate
real -world use cases for customers.
â Interpret algorithm outputs (change masks, confidence scores) and create actionable
deliverables such as annotated maps, dashboards, and case studies.
â Identify and document edge cases, false positives/negatives, and usability
challenges; recommend workflow or UI enhancements for upcoming sprints.
â Work with software engineers to fine -tune configuration parameters and validate
performance improvements against QC baselines.
â Engage with client stakeholders to understand domain needs and translate them into
clear, actionable product feature briefs.
â Hands on experience on the software for report generation and briefing the customer
Requirements
Must -Have Skills
â 2–3 years of hands -on experience in SAR and multispectral satellite images
â Strong understanding of imagery data structures and analytical workflows
â Proficiency with QGIS/ArcGIS, and image processing softwares GDAL/Rasterio,
and basic geoprocessing pipelines
â Ability to communicate complex technical insights through explicit visuals and concise
narratives
â Familiarity with YAML/JSON configurations, Git, and CLI -based toolchains for
iterative testing
â Excellent documentation and presentation discipline
Benefits
Nice -to -Have Skills
â Experience with optical + SAR data fusion, time -series analysis, or ML model
evaluation
â Exposure to React -based geospatial interfaces or participation in UX feedback cycles
📌 Forward Deployment Engineer - Imagery Analyst (New Delhi)
🏢 Important Company of the Sector
📍 New Delhi
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