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Geospatial Analyst II

Tamus

·

Yesterday

Location
College Station, TX, United States of America
Type
Full-time
Source
Workday

Description

Job Title

Geospatial Analyst II

Agency

Texas A&M Forest Service

Department

Operations Technology & Intelligence Support

Proposed Minimum Salary

$6,037.50 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

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, you’ll have the opportunity to develop innovative solutions, automate critical workflows, and deliver timely products to enhance wildfire preparedness and response. If you're passionate about using technology to support wildfire 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.

 

What You’ll Do

  • 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 division collaboration and program messaging 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.

 

Required qualifications:

•         Bachelor’s degree in forestry, natural resources, spatial sciences, emergency management, 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 analytical and problem-solving skills, including geospatial data management, workflow design, and data visualization, with emphasis on supporting project requirements and emergency management applications.

•         Working knowledge of relational database concepts.

•         Proficiency with geospatial tools, especially ArcGIS Pro, ArcGIS Online, and related applications including Survey123, Field Maps, Experience Builder, and Operations Dashboard.

•         Strong Python programming skills.

•         Familiarity with Azure Functions (HTTP triggers, timer triggers, and queue triggers) and Logic Apps.

•         Advanced proficiency in Microsoft Office.

•         Ability to work independently, manage projects, exercise sound judgment, and solve complex problems.

•         Ability and desire to stay current with new developments and standards in geospatial technology, analysis, and emergency management applications.

•         Ability to communicate effectively with both technical and non-technical audiences, using oral, written, and visual methods.

•         Demonstrated teamwork and collaboration skills.

 

Preferred qualifications:

  • Graduate degree in forestry, natural resources, spatial sciences, emergency management, or related field of study.
  • Experience or interest in natural resources, particularly forestry, wildfire science, fire ecology, or emergency management.
  • Familiarity with dashboards and reporting tools (e.g., Power BI).
  • Exposure to workflow automation and cloud-based platforms (e.g. Azure, Power Automate), or database management.
  • Experience with additional programming languages, statistical tools, or machine learning.

 

Opportunities:

  • Grow professionally by attending conferences and utilizing learning resources.
  • Make meaningful contributions as an integral part of a team.
  • Develop leadership skills and experience.
  • Explore new and emerging technologies to help the agency be more effective.
  • Move up quickly with an established career ladder with corresponding pay increases.
  • Work on a wide variety of projects, with ability to contribute to vision and direction.
  • Help determine direction of agency’s geospatial work.
  • Interact and collaborate with professionals across a broad array of natural resource and emergency management related backgrounds.

 

Texas A&M Forest Service offers a competitive benefits package including medical, dental, vision, life and long-term disability insurance, retirement benefits, paid time off and health and lifestyle programs as well as educational incentives and tuition reimbursement opportunities.  For more information about Texas A&M Forest Service and our careers, please visit https://tfsweb.tamu.edu/careers.  Come grow with us!


Applicant Instructions:

Resume, cover letter and transcript are REQUIRED to be uploaded to application. References are required to be entered in the secondary questionnaire section of the application. Certifications are preferred to be uploaded to the application.  Documents/certifications can be uploaded in the "My Experience" page in the "Resume/CV section.  More than one document can be uploaded; just click the "Upload" button for each document.  Documents can only be loaded at this time and cannot be uploaded once the application is submitted.  If there are any issues uploading documents, please contact 979-458-6690.  Please check your spam folder in case more information is sent in regards to this position.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and 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.

Equal Opportunity/Veterans/Disability Employer.

Skills

PythonAzureMachine LearningPower BI

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