GIS Analyst

ResourceWise; Charlotte (NC); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Yearly performance bonus

Medical, dental, and vision benefits

401k with company match

Education Benefit after 1 year

PTO, holidays, and personal days

Job summary

ResourceWise is seeking a GIS Analyst to support large-scale land monitoring using satellite imagery, AI-driven workflows, and geospatial automation. The role emphasizes QA/QC, change detection, and Python scripting to streamline processing and improve accuracy.

Experience with Sentinel imagery and ArcGIS Pro is preferred. The position involves collaboration with cross-functional teams to deploy scalable geospatial solutions, manage large datasets, and maintain reproducible workflows in cloud

Qualifications

• 3–5 years GIS or remote sensing experience.
• Proficiency in Python for geospatial analysis.
• Experience with QA/QC of satellite imagery and geospatial data management.

Responsibilities

• QA on satellite imagery and derived geospatial products.
• Evaluate image quality for cloud cover, atmospheric effects, and geometric/radiometric accuracy.
• Develop automated QA procedures and validation metrics.

Skills

3-5 years GIS/remote sensing

Strong analytical skills

Documentation skills

Education

Bachelor's degree in GIS/Remote Sensing/Geography

Tools

ArcGIS Pro

Python

Sentinel-1/2 imagery

GEE / AWS / Azure

PostGIS / SQL

Job description

ResourceWise is a leading commodity pricing and market intelligence company specializing in forest products, chemicals, and renewable fuels. With a legacy spanning over 150 years, our mission is to empower clients with the most accurate data, analytics, and strategic insights to drive profitable and sustainable growth. Its entities include Forest2Market Inc., Fisher International, Inc., Tecnon OrbiChem, Ltd., Prima Regulated Markets Ltd., and Chemical Intelligence.

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.

Job Duties

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.
• 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 include;

• 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.
• 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

Our Core Values & Focus

Our vision is to grow a family of companies trusted to solve complex value chain issues with a comprehensive and innovative approach to environmental and financial impacts.

• We work hard, with a purpose, to achieve personal, professional and corporate goals
• We promote self-determination and accountability as the best means to achieve these goals
• We value integrity and fairness
• We believe in continual learning and innovation
• We encourage freedom and self-expression to enhance creativity and problem solving
• We foster an interconnected world by valuing our global diversity and collaboration

We are dedicated to building teams that embody our vision and values. Our hiring process is merit-based, yet we are steadfast in providing equal opportunities to attract talented individuals from diverse backgrounds across the globe. This includes differences in race, class, veteran status, religion, political affiliation, sexual orientation, and more. We firmly believe that differing opinions and diverse talents are essential to our success.