Forest Data Analyst (Remote-Friendly, 9-Month Temp)

MSU Careers Recent Jobs; East Lansing (MI); Hybrid; USD 38,572 - 46,838; Full time

Job summary

Michigan State University in East Lansing seeks a motivated data analyst/statistician to support a large forest resilience project. This temporary 9-month position may extend; remote work is possible after training and the schedule is flexible, with a 40-hour work week.

The role involves preparing and analyzing large forest inventories, creating maps and figures, and documenting analytical choices to support researchers across multiple agencies.

Qualifications

• Master’s degree in statistics, data science, forestry, natural resources, or a related field.
• Strong analytical and problem-solving skills.
• Experience managing, cleaning, and organizing large datasets.
• Experience with statistical modeling (mixed-effects, multivariate, or spatial).
• Experience using R, JMP, ArcGIS, or comparable software.
• Ability to work independently and meet deadlines.
• Strong organizational and technical writing skills.
• Attention to detail and reproducible outputs.

Responsibilities

• Clean, organize, and process datasets for analysis.
• Conduct statistical and spatial analyses.
• Prepare maps, figures, tables, and statistics for presentations and manuscripts.
• Maintain clear documentation of data sources, analytical decisions, and code.
• Contribute to other project data analysis tasks as needed.

Skills

Data analysis

Statistical modeling

Analytical thinking

Independent work

Documentation

Attention to detail

Education

Master's degree in statistics or data science or forestry

Tools

R

JMP

ArcGIS

Job description

Michigan State University in East Lansing seeks a motivated data analyst/statistician to support a large forest resilience project. This temporary 9-month position may extend; remote work is possible after training and the schedule is flexible, with a 40-hour work week.

The role involves preparing and analyzing large forest inventories, creating maps and figures, and documenting analytical choices to support researchers across multiple agencies.