Imagery Analyst
GalaxEye Space
IT
New Delhi, Delhi, India
Posted on Oct 9, 2025
Job Description
Position: Imagery Analyst
Location: On-site with client, Delhi
Location: 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
