Imagery Analyst

2 days ago


Singapore Capella Space Full time

**About Capella Space**

Capella Space is a pioneer in Synthetic Aperture Radar (SAR) satellite technology and space-based signal intelligence. We empower government, commercial, and research organizations around the world with high-resolution, timely Earth insights that drive better decisions - across defense and intelligence, disaster response, infrastructure monitoring, environmental protection, energy, and more.

As a U.S.based company, Capella designs, builds, and operates an advanced constellation of commercial SAR satellites in orbit today. Our satellites are backed by a fully automated tasking, collection, and delivery platform, delivering fast, reliable insights when and where our customers need them most. As a subsidiary of IonQ, a global leader in quantum computing, Capella is charting the future of Earth observation. Together, we're on a mission to bring quantum computing to space - unlocking ultra-secure, encrypted uplink and downlink capabilities, reducing latency, and enabling powerful on-orbit analytics. This visionary integration of advanced remote sensing and quantum technology will support customers with the highest level of data fidelity, security, and speed.

Capella was named one of Fast Company's 10 Most Innovative Companies in Space in 2023 and is a trusted partner of the U.S. Space Force, U.S. Air Force, U.S. Navy, NASA, the National Reconnaissance Office, and allied government agencies worldwide. Built In recognized IonQ on three of its 2025 Best Places to Work lists.

**What Makes Capella Unique?**

At Capella, we don't just imagine what's possible - we build it. We're a mission-driven team fueled by curiosity, grit, and a shared commitment to redefining the limits of space innovation. Our environment is fast paced, rooted in humble collaboration. Every team member plays a critical role in shaping the future of our technology and our industry. If you're ready to roll up your sleeves and help solve problems that others call impossible—we're the place for you. We believe great ideas can come from anywhere, and we thrive on diverse perspectives that help us move faster, think deeper, and push the boundaries of innovation. Whether you're new to the space industry or a seasoned expert, you'll find a team that values creativity, integrity, and bold thinking. Join us as we build the future of SAR—and take quantum to space.

**About the Role**

You will work closely with senior analysts and engineers to ensure that our imagery products meet the highest standards of accuracy and usability for defense, intelligence, commercial, and environmental customers.

**Key Responsibilities**
- Perform **imagery analysis and quality checks** on SAR products, identifying artifacts, anomalies, and data issues.
- Use **GIS tools** (ArcGIS, QGIS, GDAL, ENVI, or similar) to visualize, compare, and validate imagery.
- Conduct **geospatial accuracy checks**, including geometry, metadata, and radiometry validation.
- Support **change detection and feature identification** tasks as part of broader imagery analysis workflows.
- Document results in clear QA reports and recommend corrective actions where appropriate.
- Maintain data organization and imagery archives to ensure consistency and traceability.
- Continue learning advanced SAR concepts and analytical techniques under the mentorship of senior staff.

**Required Qualifications**
- Bachelor's degree in **Geography, GIS, Remote Sensing, Environmental Science, Earth Science, Engineering, or related field**, or equivalent hands-on experience.
- 1-2 years of relevant experience in **imagery analysis, GIS, or remote sensing**preferred.
- Proficiency with **geospatial tools and platforms** (ArcGIS, QGIS, or similar).
- Understanding of **remote sensing fundamentals** and basic SAR/EO imagery interpretation.
- Strong attention to detail, organizational skills, and problem-solving ability.
- Effective written and verbal communication skills.

**Preferred Qualifications**
- Experience working with **SAR data** (processing, visualization, or QA).
- Familiarity with scripting (Python, R, or MATLAB) for geospatial analysis and workflow automation.
- Knowledge of geospatial data standards, metadata structures, and QA practices.
- Ability to work independently with mínimal oversight while knowing when to escalate issues.


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