Geospatial Analyst II (Wildfire Response)

Location: College Station, Texas, United States

Salary: $6,037.50 per month

Company

Texas A&M Forest Service supports wildfire preparedness, emergency response, natural resource management, and the protection of Texas communities and ecosystems.

What you will do

• Develop data-driven geospatial solutions for wildfire response and resource management.
• Conduct advanced geospatial analyses addressing wildfire and natural resource challenges.
• Automate critical workflows and streamline data flows to improve operational efficiency and response times.
• Compile, process, and manage complex tabular, vector, and raster datasets.
• Communicate insights through reports, visualizations, dashboards, and interactive applications.
• Participate in the agency’s geospatial working group and occasionally support emergency response operations, including extended hours and weekends when requested.

Requirements

• Bachelor’s degree in forestry, natural resources, spatial sciences, emergency management, or a related field.
• At least four years of experience in geospatial analysis, statistical analysis, or a similar area; an advanced degree may substitute for experience.
• Strong geospatial data management, workflow design, data visualization, analytical, and problem-solving skills.
• Proficiency with ArcGIS Pro, ArcGIS Online, Survey123, Field Maps, Experience Builder, and Operations Dashboard.
• Strong Python programming skills, working knowledge of relational databases, and familiarity with Azure Functions and Logic Apps.
• Ability to work independently, manage projects, communicate with technical and non-technical audiences, and collaborate effectively.

Nice to have

• Graduate degree in forestry, natural resources, spatial sciences, emergency management, or a related field.
• Experience or interest in forestry, wildfire science, fire ecology, natural resources, or emergency management.
• Experience with Power BI, Power Automate, Azure, database management, additional programming languages, statistical tools, or machine learning.

Culture & Benefits

• Opportunities to attend conferences, use learning resources, and develop leadership skills.
• Work on varied projects and contribute to the direction of the agency’s geospatial work.
• Career ladder with corresponding pay increases.
• Medical, dental, vision, life, and long-term disability insurance.
• Retirement benefits, paid time off, health and lifestyle programs, educational incentives, and tuition reimbursement.

Hiring process

• Upload a resume, cover letter, and transcript with the application.
• Provide references in the secondary questionnaire section; certifications may also be uploaded.
• Employment is contingent on credential verification and completion of a criminal history investigation.