Job opening: Land Life Company seeks a Forest Data Analyst

Will you strengthen Land Life Company’s long-term carbon capture projection capabilities at reforestation sites all over the globe?

Photo: Land Life Company
Photo: Land Life Company

Land Life Company is seeking a Forest Data Analyst. The role will be based in Amsterdam with regular travel.

Land Life Company compiles and collects plot-level data on tree growth, survival and recruitment, performs experiments and site productivity assessments. The purpose of the role is to analyse data in a consistent manner and make the derived model
parameters available for accurate and well-justified CO2 capture projections, and advise and contribute in future model developments (e.g. considering non-carbon ecosystem services, and biodiversity).

Job responsibilities

The responsibilities of a Forest Data Analyst will include but will not be limited to:

Statistical / data analyses

  • Compile, collect, and process open-source forest growth data (NFI, growth & yield, plot data including survival & recruitment)
  • Analyise data collected by Land Life (monitoring, flux data, experiments, Site Productivity Assessment (SPA) campaigns)
  • Derive operational climate-growth relationships and consolidated model parameters
  • Perform model-data comparisons, and report results in scientific literature on (global) data analyses, model-data and model-model intercomparisons

Carbon sequestration projections

  • Support Head of Resilience Engineering on carbon capture projections
  • Contribute to VCS carbon crediting applications (proposal review with respect to data analyses and statistical design of monitoring)

Scientific fieldwork

  • Advise on sampling design & -frequency considering experiments, monitoring, soil and tree core sampling campaigns at the planting sites
  • Participate in the sampling and measurement process

Desired profile

  • Excellent written communications skills, logical analysis.
  • The ability to make complex information and ideas understandable and approachable to others
  • Able to produce and meet clearly defined milestones, deliverables and planning
  • Comfortable working independently. Innovative and proactive mindset.
  • Education: PhD/post-Doc in forestry or forest-ecology
  • 5-10 years experience in statistical data analyses
  • Programming (Python, R) or related fields
  • Fluent in English

Land Life Company aims to onboard the Forest Data Analyst as soon as possible. For application, send your resume and cover letter to Koen Kramer (