Spatial Analyst Consultant

Position Type: Consulting Services
Location: remote
Duration: 4 months, 20h/week
Compensation: $30/hour
Maximum Compensation: $10,560
Application Deadline: May 28, 2025
Start Date: June 1, 2025
End Date: September 30, 2025

About the Center for Large Landscape Conservation (CLLC)

CLLC is a nonprofit organization located in Bozeman, Montana. We bring science, policy, and proven solutions directly to communities working to protect and restore the health and climate integrity of the planet through large-scale conservation measures. CLLC is a leader in the fast-growing global movement to reverse landscape fragmentation, restore nature’s resilience to climate change, and support community-led action.

Scope of Work:

Working closely with the CLLC science team, consultant will support a research project on managing landscapes for wildlife movement by managing and analyzing spatial data. This will include modifying land cover maps for back-casting and forecasting analyses, communicating with external project teams to develop future scenarios, and creating maps and other graphics to illustrate results.

Essential duties 

• Use spatial datasets on locations of past management actions to create landscapes representing “pre-management” conditions at points during past 20 years
• Working with Nature Conservancy of Canada teams to develop future management scenarios and create landscapes representing these future scenarios
• Communicate with Nature Conservancy of Canada staff regarding questions about management data and scenarios
• Generate maps and other graphics for inclusion in project reports and publications

Required skills 

• Bachelor’s degree or higher in geography, ecology, or other natural science involving spatial data
• Experience performing spatial analyses in ArcGIS or other GIS software (e.g., QGIS, GrassGIS)
• Strong organizational skills, including the ability to manage multiple tasks, prioritize responsibilities effectively, and maintain accurate documentation and schedules
• Proven ability to collaborate effectively with team members, demonstrating clear communication, adaptability, and a commitment to shared goals

Desired skills 

• Knowledge of R software for data analysis
• Ability to learn new spatial analysis techniques