Data Analyst serving as the technical engine for forestry analytics. Collaborates to deliver reproducible data outputs for Wood Fiber Supply Study.
Responsibilities
The Data Analyst serves as the technical engine for a statewide Wood Fiber Supply Study, supporting forestry analytics through reproducible data pipelines and transparent reporting.
Focuses on ingesting, engineering, and analyzing forestry datasets (FIA/TPO and approved state/county data), ensuring quality assurance and generating reproducible, stakeholder-ready outputs.
Collaborates closely with the Forestry Analytics Lead and Project Manager to deliver high-quality visualizations, tables, and a static, aggregated map atlas.
Requirements
Must be a U.S. Citizen to apply
B.S. or M.S. in Data Science, Statistics, or related field (open to graduating M.S. students)
3+ years of relevant experience.
Demonstrated experience applying statistical methods for descriptive and trend analysis.
Proficiency in R or Python for analytics and visualization.
Strong data wrangling, QA, and documentation skills with version control (Git).
Excellent written communication for both technical and non-technical audiences.
Benefits
MPS does not discriminate on the basis of race, color, religion (creed), gender, gender identity or expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status in any of its business activities including recruiting and selection.
We are committed to providing a diverse, inclusive and welcoming environment for employees, volunteers, subcontractors, vendors, and clients.
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