Carbon Analyst

American Forest Foundation • Full-time • Washington • 3w ago

Full-time

Description

About us:

The American Forest Foundation (AFF) unlocks the power of family forests as a climate solution while helping thousands of landowners care for their land and improve forest health. Through its Family Forest Carbon Program, AFF expands access to the voluntary carbon market for family forest owners from all walks of life while producing high quality forest carbon credits to help companies reach their net zero goals. The organization’s strategic direction seeks to enable family forests to capture and store one billion tonnes of carbon by 2050.

We do not do this alone. AFF works across a broad coalition of conservation partners, corporations, and policymakers to equip family forest owners with financial and technical support to implement sustainable forest management practices on their lands and activate their forests as a critical tool in the fight against climate change.

AFF is in a mode of complex problem solving and rapid iteration. All teams at AFF are working to discover solutions to the planet’s most pressing climate issues through developing and iterating viable and scalable models for impact. AFF is driven by values of our shared purpose, measurable and verifiable results, and learning for continuous improvement to tackle big conservation challenges.

About the Role:

The Carbon Analyst is the primary technical expert on the carbon and related socioecological modelling and statistics necessary to fulfill our science and monitoring, reporting, and verification work. The analyst will provide quantitative support to new technology evaluation, carbon gains analyses, coupled socio-ecological system impact evaluation, verification audits, and demand-side information needs. The Analyst is a member of the Science and Product Refinement team and reports to the Lead Scientist.

Responsibilities:

Provide analytic capacity to support carbon gains analysis and verification and identify and implement opportunities for continuous improvement to these analyses.
Carry out applied socio-ecological research and analysis, using statistical impact evaluation methods and best practices, following, and informing research validation processes, ensuring data and insights used for program decision-making are robustly validated.
Produce collaborative insights to inform innovation and
implementation of AFF science/integrity implementation and advocacy around forest-based Natural Climate Solutions.
Digest and synthesize technical material, flagging areas of relevancy for AFF’s programs.
Run matching code, statistical analysis, and calculations for carbon credit generation and to support practice refinement.
Collaborate with technology strategy leads to bring new data solutions into supply. Lead QA/QC testing and set parameters for data and insight use and implementation.
Compile information on implementation and carbon accounting for both investor needs and credit rating agencies.
Manage technical consultants where relevant to carbon gains and statistical analyses.

Requirements

Candidate requirements:

Bachelor's degree and either a graduate degree or continuing progress towards a graduate degree.
3-5 years’ experience.
Deep understanding of forest and carbon modelling, statistical analysis and coding (e.g., R, python), sampling techniques, counterfactual methods, impact evaluation, causal inference, and research methodologies.
Experience and demonstrated skillsets in intermediate-to-advanced statistical programming
Strong working knowledge of climate science.
Strong working knowledge of carbon accounting methods.
Working ability to digest and communicate findings as insights for internal audiences.

Core Competencies:

Agility – Thriving in volatile, uncertain, complex and ambiguous environments by anticipating and responding to changes with swift, focused and flexible actions.
Collaborating with Others – Working together with others in a cooperative and supportive manner to achieve shared goals.
Ensuring Accountability – Holding yourself and others to high standards of accountability, creating an infrastructure and transparent organization culture that supports and measures personal and organizational responsibility and accountability.
Problem Solving – Identifying problems and the solutions to them. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair.

Job Function Competencies:

Statistical Modelling – Analyzing quantitative/qualitative information to conduct exploratory analysis or to develop predictive analytics and/or statistical models in order to support business decision makers.
Data Literacy – Using data to gain insights, solve problems, and inform decisions.
Creativity and Innovation – Generating viable, new approaches and solutions.
Exemplifying Integrity – Treating others fairly, honestly, and respectfully, furthering the integrity of the organization and its relationships of trust with the broader community.

What’s attractive to the right candidate:

You have the unique and exciting opportunity to work with amazing colleagues, partners and landowners to help connect forest landowners with technical and financial assistance to better steward their land and achieve vital landscape-scale conservation impacts.
Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair.
We offer a flexible work environment that respects your life outside of work.
Salary is commensurate with experience.
AFF offers a comprehensive and competitive benefits package.

Contact us to apply:

We know there are great candidates who may not check all these boxes, and we also know you might bring important skills that we haven’t considered. If that applies to you, don’t hesitate to apply and tell us about yourself.

We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other basis protected by law.