GIS Analyst

Satellite Imagery Quality Assurance

• Perform quality assurance (QA/QC) on satellite imagery and derived geospatial products.
• Evaluate image quality for cloud cover, atmospheric effects, geometric accuracy, and radiometric consistency.
• Identify and document anomalies, processing errors, and data quality issues.
• Develop and maintain QA procedures and validation metrics.

Change Detection & Remote Sensing

• Design, implement, and refine automated change detection workflows using multi-temporal satellite imagery.
• Analyze vegetation and forestry changes using Sentinel imagery.
• Validate change detection outputs against reference datasets and ground truth information.
• Improve detection accuracy by incorporating new algorithms and best practices.

AI & Process Automation

• Identify opportunities to leverage artificial intelligence and machine learning to improve geospatial production workflows.
• Develop AI-assisted routines for image classification, feature extraction, anomaly detection, and quality assurance.
• Evaluate emerging AI tools and integrate them into GIS and remote sensing operations.
• Collaborate with technical teams to deploy scalable AI-enabled geospatial solutions.

GIS & Programming

• Develop Python scripts and geoprocessing tools to automate repetitive GIS tasks.
• Process, analyze, and manage large geospatial datasets.
• Maintain reproducible workflows using version control and documentation.
• Support integration of GIS data into enterprise applications and cloud environments.

Qualifications

• Bachelor's degree in GIS, Geography, Remote Sensing, Environmental Science, Computer Science, or a related field.
• 3-5 years of professional GIS or remote sensing experience.
• Strong experience with Sentinel-1 and/or Sentinel-2 imagery.
• Proficiency in Python for geospatial analysis and automation.
• Experience with ArcGIS Pro.
• Experience performing quality assurance on remote sensing imagery.
• Knowledge of raster processing and geospatial data management.
• Strong analytical, troubleshooting, and documentation skills.

Preferred Qualifications

• Experience with cloud-based geospatial platforms such as Google Earth Engine, AWS, or Azure.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Understanding of image classification, segmentation, and computer vision techniques.
• Familiarity with SQL and spatial databases (PostGIS, SQL Server Spatial).

Compensation & Benefits

• Compensation is commensurate with experience.
• Yearly performance bonus.
• Medical, dental, and vision benefit programs provided.
• 401k with company match.

Education Benefit

• After 1 year.

Paid Time Off

• PTO, company holidays, and personal days offered.

Core Values & Focus

• Grow a family of companies trusted to solve complex value chain issues with a comprehensive and innovative approach to environmental and financial impacts.
• Work hard, with a purpose, to achieve personal, professional and corporate goals.
• Promote self-determination and accountability as the best means to achieve these goals.
• Value integrity and fairness.
• Believe in continual learning and innovation.
• Encourage freedom and self-expression to enhance creativity and problem solving.
• Foster an interconnected world by valuing our global diversity and collaboration.