Remote Forest Carbon Analyst — GIS & Data Specialist

Manulife Financial; Northern (KY); Hybrid; USD 99,000 - 177,000; Full time

Job summary

Manulife Investment Management Timberland and Agriculture (MIMTA) is seeking an Analyst to join the II & NCS team. The role focuses on technical execution, geospatial data handling, and documentation for forest carbon projects and credit sales globally.

Responsibilities include CPA analyses, data management, GIS outputs, and collaboration with cross-functional teams to ensure data accuracy and project quality. Strong GIS, Excel, and programming familiarity (Python/R) are preferred.

Qualifications

• Bachelor’s degree in Forestry, Natural Resources, Environmental Science, or related field (Master’s preferred).
• 1–2+ years of experience in forest carbon or a related quantitative discipline (preferred).
• Strong geospatial and analytical skills, including experience with GIS tools (ArcGIS, QGIS).
• Ability to leverage AI tools and digital solutions to automate workflows, enhance data interpretation, and improve project efficiency.
• Proficiency in Excel and familiarity with programming languages such as Python or R is preferred.
• Experience with technical writing and standardized documentation.
• Basic understanding of voluntary and compliance forest carbon markets (e.g., IFM methodologies).
• Strong organizational and data management skills.
• Ability to work collaboratively across teams in a structured environment.
• Attention to detail and ability to manage multiple tasks with accuracy.

Responsibilities

• Support forest carbon project development through technical and data-driven workstreams under supervision.
• Gather, organize, and manage geospatial and quantitative datasets (including project boundaries and remote sensing data).
• Conduct Comparable Properties Analysis (CPA) and related spatial analyses with oversight.
• Maintain organized geospatial data systems and file structures for project work.
• Develop maps, figures, and geospatial outputs for project documentation (GHG Plans, PDDs, listing forms).
• Populate quantitative and standardized sections of project documentation and ensure consistency across materials.
• Prepare materials for validation and verification processes, including data rooms and issue tracking logs.
• Support compilation of harvest records and development of field verification materials (e.g., tree lists).
• Review forestry documents (management plans, deeds, BMPs, easements) and summarize key insights.
• Provide carbon-focused data and documentation support to acquisitions and internal stakeholders.
• Collaborate with internal teams to ensure alignment and data accuracy.
• Apply analytical tools (Excel, GIS, Python/R exposure) to improve workflows and data quality.
• Liaise with Manulife’s operations and investment management teams, including foresters, Resource Support, Planning & Analysis, Acquisitions & Dispositions, and Client Account Management.
• Support carbon credit sales and marketing efforts with data and document support for the carbon sales lead.
• Contribute to policy and strategy development related to forest carbon and nature-based solutions. Conduct research on emerging forest carbon opportunities and share technical insights with internal teams and peer groups.
• Perform additional responsibilities as needed to support successful project and strategy execution.

Skills

Geospatial analysis

Python

R

Excel

Data management

Technical writing

Collaboration

Education

Bachelor's in Forestry, Natural Resources, Environmental Science or related field

Master’s preferred

Tools

ArcGIS

QGIS

Job description

Manulife Investment Management Timberland and Agriculture (MIMTA) is seeking an Analyst to join the II & NCS team. The role focuses on technical execution, geospatial data handling, and documentation for forest carbon projects and credit sales globally.

Responsibilities include CPA analyses, data management, GIS outputs, and collaboration with cross-functional teams to ensure data accuracy and project quality. Strong GIS, Excel, and programming familiarity (Python/R) are preferred.