Full-Time
Geospatial Analyst 2
Texas A&M University System
Texas public university system
Compensation Overview
$6k/mo
College Station, TX, USA
In Person
Bachelor's, Master's
 Data & Analytics (1) |
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- A bachelor's degree in forestry, natural resources, spatial sciences, mathematics, statistics, or a related field of study is required.
- A minimum of four years of geospatial analysis, statistical analysis, or similar experience in an academic or professional setting is required; an advanced degree may substitute for experience.
- Strong working knowledge of data analysis concepts and processes, including creating, organizing, manipulating, maintaining, analyzing, and visualizing data, is required.
- Analytical skills in environmental geospatial modeling, remote sensing, and/or spatial statistics are required.
- The ability to work independently and use sound judgment to solve common and complex problems is required.
- The ability to manage projects effectively is required.
- The ability to keep abreast of new developments and standards in geospatial technology and analysis is required.
- Proficiency in Microsoft Office, ArcGIS Pro, Python, and remote sensing software is required.
- Working knowledge of relational database concepts is required.
- Demonstrated problem-solving and critical-thinking skills are required.
- The ability to communicate work to technical and non-technical audiences through oral, written, and visual communication is required.
- The ability to work effectively as part of a team is required.
- Develop and enhance data-driven solutions that improve wildfire response and resource management.
- Conduct advanced geospatial analyses to address complex wildfire and natural-resource challenges.
- Automate workflows to maximize efficiency and improve response times.
- Communicate insights through reports, visualizations, and interactive platforms.
- Compile, process, and manage complex tabular, vector, and raster data sources for analyses and applications.
- Support collaboration and program messaging within the Fire and Emergency Response Division through application of current technology.
- Participate in the agency's geospatial working group and collaborate with other agency programs.
- Occasionally support emergency-response operations as requested, including extended hours and weekends.
- A graduate degree in forestry, natural resources, spatial sciences, mathematics, statistics, or a related field of study is preferred.
- Experience with or interest in natural resources, especially forestry, wildfire science, or fire ecology, is preferred.
- Experience in wildland-fuels mapping, wildfire-response field support, land-use/land-cover change detection, and/or LiDAR is preferred.
- Proven experience with Python and/or R is preferred.
- Working knowledge of Google Earth Engine is preferred.
- Working knowledge of Power Automate and Power BI is preferred.
- Experience with machine learning and advanced statistical techniques is preferred.
Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.
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