Carbon Project Lead — Analytics & Modeling

Steigerwaldt Land Services, Inc.

Town of Tomahawk (WI)

Hybrid

USD 70,000 - 100,000

Full time

5 days ago
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Job summary

Steigerwaldt Land Services, Inc. is seeking a Carbon Project Manager in Tomahawk, Wisconsin.

The role involves leading carbon analytics projects, researching forest product data, and performing data analysis, growth modeling, and harvest scheduling to quantify carbon and assess timberland investments. The position requires 3+ years in analytical forestry work, strong GIS (ArcMap/ArcGIS Pro/AGOL) skills, and experience with SQL, Python, and R.

Qualifications

  • Bachelor of Science in Forestry or related Forest Sciences; graduate degree preferred.
  • Minimum of two years of experience in forest inventory and analysis.
  • Experience with forest inventory and analysis and GIS platforms.
  • Proficiency in SQL, Python, and R for data management and analysis.

Responsibilities

  • Carbon analytics project management.
  • Forest product data research on timber volumes and industry competition.
  • Data analysis, inventory processing, growth and yield modeling.
  • Harvest scheduling and carbon quantification.
  • Timberland investment due diligence analysis and modeling.
  • Data review and QA/QC.
  • Assists with proposals, scheduling, budgeting, and client communications.
  • Drafts report narratives; supports department projects.

Skills

GIS
SQL
Python
R
Forest inventory analysis

Education

Bachelor of Science in Forestry or related Forest Sciences

Tools

ESRI ArcMap 10.x GIS
ArcGIS Online (AGOL)
ArcGIS Pro

Job description

Steigerwaldt Land Services, Inc. is seeking a Carbon Project Manager in Tomahawk, Wisconsin.

The role involves leading carbon analytics projects, researching forest product data, and performing data analysis, growth modeling, and harvest scheduling to quantify carbon and assess timberland investments. The position requires 3+ years in analytical forestry work, strong GIS (ArcMap/ArcGIS Pro/AGOL) skills, and experience with SQL, Python, and R.

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