GIS Analyst

ResourceWise

1d

About The Position

ResourceWise is seeking a highly motivated GIS Analyst with expertise in satellite imagery, remote sensing, and geospatial automation to support the development and quality assurance of large-scale land monitoring products. This role combines traditional GIS analysis with AI-driven workflows to improve image interpretation, change detection, and operational efficiency. The ideal candidate has experience working with Sentinel satellite imagery, Python scripting, and geospatial data processing.

Requirements

• 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.

Nice To Haves

• 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).
• Remote Sensing: Sentinel-1, Sentinel-2, multispectral imagery
• Candidates with experience in forestry, agriculture, environmental monitoring, land cover mapping, natural resource management, or other large-scale Earth observation programs are especially encouraged to apply.

Responsibilities

• 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.
• 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.
• 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.
• 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.

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
• PTO, company holidays, and personal days offered

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level