Imagery Analyst

3 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position: Imagery AnalystLocation: On-site with client, Delhi

Role Context

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
  • Execute multi-temporal image processing workflows using packaged change-detection applications on client datasets.
  • Conduct training sessions, develop quick-reference guides, and demonstrate real-world use cases for customers.
  • Interpret algorithm outputs (change masks, confidence scores) and create actionable deliverables such as annotated maps, dashboards, and case studies.
  • Identify and document edge cases, false positives/negatives, and usability challenges; recommend workflow or UI enhancements for upcoming sprints.
  • Work with software engineers to fine-tune configuration parameters and validate performance improvements against QC baselines.
  • Engage with client stakeholders to understand domain needs and translate them into clear, actionable product feature briefs.
  • Hands on experience on the software for report generation and briefing the customer

Requirements

Must-Have Skills
  • 2–3 years of hands-on experience in SAR and multispectral satellite images
  • Strong understanding of imagery data structures and analytical workflows
  • Proficiency with QGIS/ArcGIS, and image processing softwares GDAL/Rasterio, and basic geoprocessing pipelines
  • Ability to communicate complex technical insights through clear visuals and concise narratives
  • Familiarity with YAML/JSON configurations, Git, and CLI-based toolchains for iterative testing
  • Excellent documentation and presentation discipline

Benefits

Nice-to-Have Skills
  • Experience with optical + SAR data fusion, time-series analysis, or ML model evaluation
  • Exposure to React-based geospatial interfaces or participation in UX feedback cycles
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