Geospatial Analyst II
$72,450–$72,450 year
On-siteCollege Station, Texas, United States
Job Summary
Develop and enhance data-driven solutions that improve wildfire response and resource management by conducting advanced geospatial analyses for complex challenges. Automate workflows to maximize efficiency and communicate insights through reports, visualizations, and interactive platforms. Compile, process, and manage complex tabular, vector, and raster data sources while supporting collaboration within the FERM Division and agency geospatial working group. Occasionally support emergency response operations as requested, which may include working extended hours and weekends. This role is part of the Applied Technology Department's integrated technology team, focusing on developing timely products to enhance wildfire preparedness and response across Texas.
Required Qualifications
- 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
- Advanced degree in forestry, natural resources, spatial sciences, math, statistics, or related field of study (substitutes 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
- Occasionally support emergency response operations as requested, which may include working extended hours and weekends
- Applicant Instructions: Resume, cover letter and transcript(s) are REQUIRED to be uploaded to application
- References are required to be entered in the secondary questionnaire section of the application
- All positions are security-sensitive
- Applicants are subject to a criminal history investigation
- Employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check
Desired Qualifications
- 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
- Certifications are preferred to be uploaded to the application
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