Geospatial Analyst II

Texas A&M University System•College Station, TX

1d•Onsite

About The Position

Join Us in the Fight Against Wildfires Wildfires are becoming more frequent and intense, threatening lives, property, and natural resources in Texas. We need forward-looking problem solvers to help Texas A&M Forest Service (TAMFS) and the citizens of Texas stay ahead of the threat. As part of our integrated technology team in the Applied Technology Department of the Fire and Emergency Response (FERM) Division, you’ll have the opportunity to develop data-driven solutions, automate critical workflows, and deliver timely products to enhance wildfire preparedness and response. If you're passionate about using technology to combat wildfires and want to make a tangible impact, we want to hear from you. Why This Role Matters In this position, you’ll play a crucial role in advancing geospatial and data technologies that improve situational awareness, optimize emergency response, and drive smarter decision-making. From conducting complex geospatial analyses to streamlining data flows, your expertise will help firefighters and emergency managers protect communities and ecosystems across the state.

Requirements

Bachelor’s degree in forestry, natural resources, spatial sciences, math, statistics, or related field of study.
Minimum of 4 years in geospatial analysis, statistical analysis, or similar, in either an academic or professional setting. An advanced degree may substitute for experience.
Strong working knowledge of concepts and processes of data analysis including creating, organizing, manipulating, maintaining, analyzing, and visualizing data.
Analytical skills in at least one of the following areas: environmental geospatial modeling, remote sensing, and/or spatial statistics.
Ability to work independently and use sound judgment to find solutions to common, complex problems.
Ability to manage projects effectively.
Ability and desire to keep abreast of new developments and standards in geospatial technology and analysis.
Proficient in MS Office, ArcGIS Pro, Python, and remote sensing software.
Working knowledge of relational database concepts.
Demonstrated problem solving and critical thinking skills.
Ability to communicate work to both technical and non-technical audiences, with effective oral, written, and visual modes of communication.
Ability to work effectively as part of a team.

Nice To Haves

Graduate degree in forestry, natural resources, spatial sciences, math, statistics, or related field of study.
Experience with or interest in natural resources, especially with emphasis in forestry, wildfire science, or fire ecology.
Experience in one or more of the following areas: wildland fuels mapping, wildfire response field support, land use/land cover change detection, LiDAR.
Proven experience with Python and/or R.
Working knowledge of Google Earth Engine.
Working knowledge of Power Automate and Power BI.
Experience with machine learning and advanced statistical techniques.

Responsibilities

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 effectively through reports, visualizations, and interactive platforms.
Compile, process, and manage complex tabular, vector, and raster data sources in support of analyses and applications.
Support collaboration and program messaging within FERM ]through application of latest technology.
Participate in agency’s geospatial working group, professional development, and collaborate with other agency programs in TAMFS.
Occasionally support emergency response operations as requested, which may include working extended hours and weekends.