GIS Analyst

Posted 3 Days Ago
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Charlotte, NC, USA
In-Office
Mid level
Greentech • Database • Analytics • Business Intelligence • Chemical
Data, analytics and insight for natural-resource-based commodity markets: forest products, pulp and paper, and chemicals
The Role
Perform QA/QC on Sentinel satellite imagery and derived geospatial products, develop automated change-detection and remote sensing workflows, apply AI/ML to improve image classification and QA, build Python geoprocessing tools, manage large geospatial datasets, and integrate GIS into cloud and enterprise systems.
Summary Generated by Built In

About ResourceWise

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.
  • 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 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 & 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


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.

Skills Required

  • Bachelor's degree in GIS, Geography, Remote Sensing, Environmental Science, Computer Science, or related field.
  • 3-5 years of professional GIS or remote sensing experience.
  • 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.
  • 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).
  • Experience with multispectral imagery and applications in forestry, agriculture, or environmental monitoring.
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The Company
HQ: Charlotte, NC
150 Employees
Year Founded: 2021

What We Do

Insight, commentary, and data on the latest developments in natural resource-based commodity markets, including biofuels and feedstocks, forest products, pulp and paper, and chemicals. Deep Industry Expertise ResourceWise has deep industry experience with a combined history of 150 years delivering world-class data and analytics within the bioenergy and commodity markets. World-Class Expertise Companies in more than 35 countries trust ResourceWise as their business intelligence and consulting partner. Reliable, Extensive Data Our interactive platforms contain millions of data points, giving our customers a holistic market view to inform their decision-making.

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