Environmental Products - Origination Analyst

General Summary: As an Origination Analyst on our Environmental Products team, your core focus will be to contribute to our growing portfolio of forestry-based carbon projects. You will enjoy significant responsibility for the management of your own projects within a supportive and collaborative team environment.

Primary Responsibilities and Competencies:

• Prepare written carbon project feasibility analysis documents for landowners
• Perform statistical analyses of forest inventories and other data sets
• Analyze remote sensing databases to produce accurate estimates of carbon sequestration and emissions reductions
• Conduct silvicultural research across project regions
• Manage geospatial data and produce maps using ArcGIS or other geospatial software
• Analyze financial costs and benefits of carbon project development
• Review easements/harvest prohibitions and conduct project eligibility due diligence
• Articulate carbon analysis processes for landowners
• Travel is less than 10%

Required Education, Qualifications & Experience:

• Bachelor’s degree in forestry or another applicable discipline
• 1 or more years of professional experience in forestry or forest carbon-related field
• Experience implementing afforestation/reforestation activities
• Experience working with a variety of forms of timber data
• Knowledge of a variety of North American forest types
• Experience in ArcGIS mapping and analysis
• Highly proficient in Microsoft Excel, knowledge of database management a plus
• Experience cleaning and troubleshooting data
• Experience in statistical analysis
• Knowledge of forest carbon policy, carbon protocols (compliance and voluntary), and carbon accounting standards
• Experience and comfort managing client and third-party relationships.

Preferred Education, Qualifications & Experience:

• Master’s degree in forestry or another applicable discipline
• 2 or more years of professional experience in forestry or forest carbon-related field
• Knowledge of database management (MS Access preferred)
• Knowledge of R Statistical Software