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Forestry Data Analyst Jobs in Texas (NOW HIRING)

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...

Texas A&M Forest Service * Texas A&M Veterinary Medical Diagnostic Laboratory As the nation ... The Lead Data Analyst, under general direction, serves as a technical lead on complex data projects.

Texas A&M Forest Service * Texas A&M Veterinary Medical Diagnostic Laboratory As the nation ... The Lead Data Analyst, under general direction, serves as a technical lead on complex data projects.

Responsibilities include the collection, analysis, and organization of data, as well as the development and application of algorithms and models to realistically simulate forest ecosystem dynamics ...

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Forestry Data Analyst information

What does a forestry data analyst do?

A Forestry Data Analyst collects, processes, and interprets data related to forests, such as tree growth, forest health, and resource usage. They use statistical and geospatial analysis tools to generate insights that help guide forest management and conservation efforts. Their work supports decision-making for sustainable forestry practices and can involve collaborating with scientists, government agencies, and environmental organizations. Typical tasks include data cleaning, GIS mapping, and preparing reports or visualizations to communicate findings.

What are the key skills and qualifications needed to thrive as a forestry data analyst, and why are they important?

To thrive as a Forestry Data Analyst, you need strong analytical skills, a background in environmental science or forestry, and proficiency in statistical analysis. Experience with GIS software, remote sensing tools, and data management systems—along with certifications like GIS Professional (GISP)—are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help distinguish top performers in this role. These competencies enable accurate data interpretation and support informed decision-making for sustainable forest management.

How does a forestry data analyst typically collaborate with field teams and other departments?

Forestry Data Analysts often work closely with field teams to gather accurate data from forest sites and ensure the integrity of information used in analysis. They regularly communicate findings to forestry managers, ecologists, and GIS specialists to support decision-making in areas like conservation planning and sustainable harvesting. Collaboration also involves participating in cross-departmental meetings and contributing to reports that influence both operational strategies and long-term forest management goals.

What is the difference between Forestry Data Analyst vs Forest Technician?

AspectForestry Data AnalystForest Technician
Required CredentialsBachelor's degree in forestry, environmental science, or related field; data analysis skillsAssociate's degree or technical certification; fieldwork experience
Work EnvironmentOffice-based with field data collection; data analysis and reportingPrimarily in the field; data collection and site assessments
Employer & Industry UsageGovernment agencies, research institutions, consulting firmsForestry services, conservation agencies, government departments
Common Search & ComparisonData analysis, GIS, forest managementFieldwork, forest surveys, data collection

The Forestry Data Analyst focuses on analyzing forest data, creating reports, and supporting management decisions using data analysis tools. In contrast, the Forest Technician primarily conducts fieldwork, collects data on forest conditions, and supports field surveys. Both roles are essential in forestry but differ mainly in their focus—analytical versus fieldwork tasks.

What are popular job titles related to Forestry Data Analyst jobs in Texas?

For Forestry Data Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Forestry Data Analyst jobs in Texas look for?

The top searched job categories for Forestry Data Analyst jobs in Texas are:

What cities in Texas are hiring for Forestry Data Analyst jobs?

Cities in Texas with the most Forestry Data Analyst job openings:

Infographic showing various Forestry Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

Re-posted 16 days ago


Key responsibilities

  • Analyze complex data sets to identify trends, patterns, and actionable insights to support consulting projects and operational objectives

  • Design, build, and optimize workflows to streamline data collection, processing, and reporting processes

  • Develop, manage, and maintain interactive dashboards in PowerBI to visualize key performance metrics and project outcomes


Job description

Job Title: Data Analyst

 

Who we are

Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ties our operating companies together and allows us to best serve our clients. We are a team of thinkers, problem solvers, and industry experts who collectively deliver the right solution for our clients.   

Who you are

You appreciate the client relationship and understand that delivering an excellent experience to the client is critical to success.  You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders.  You are self-motivated and able to work with little to no supervision; you practice good time management, and you consistently take the initiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don’t mind if every day looks a little different. You have appreciation for attention to detail, you’re a team player and work towards achieving common goals for the client. You’re honest and respectful in your communication style and when things go astray, you understand that it’s an opportunity to learn, take accountability and create a path forward.

Position Overview:
We are seeking a highly skilled and detail-oriented Data Analyst to support our consulting projects and operational functions. This role will focus on developing and managing work management solutions and creating insightful PowerBI dashboards. The successful candidate will analyze data sets, design efficient workflows, and deliver actionable insights to enhance decision-making processes across our organization. This is an in-office role

Key Responsibilities:

  • Analyze complex data sets to identify trends, patterns, and actionable insights to support consulting projects and operational objectives.
  • Design, build, and optimize workflows to streamline data collection, processing, and reporting processes.
  • Develop, manage, and maintain interactive dashboards in PowerBI to visualize key performance metrics and project outcomes.
  • Collaborate with cross-functional teams, including consultants, project managers, and field operations, to gather requirements and ensure data solutions align with business needs.
  • Ensure the accuracy, integrity, and security of data by implementing best practices in data management and quality assurance.
  • Provide technical expertise in work management solutions, integrating data from various sources to create seamless operational workflows.
  • Deliver reports and presentations to stakeholders, explaining complex data findings in a clear and concise manner.
  • Identify opportunities for process improvements and contribute to the continuous enhancement of data-driven operations.
  • Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation.
  •  

Qualifications:

  • Bachelor’s degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 5 years of experience in data analysis, workflow optimization, and dashboard creation.
  • Proficiency in PowerBI for data visualization and reporting.
  • Strong skills in SQL for querying and managing data from relational databases.
  • Experience with workflow management tools and platforms (e.g., Fulcrum, FastField, or similar).
  • Excellent problem-solving and analytical skills, with the ability to translate complex data into actionable insights.
  • Strong communication and interpersonal skills, with the ability to work collaboratively with diverse teams.
  • Self-motivated and able to manage multiple projects and deadlines effectively.
  • Familiarity with utility or infrastructure-related data is a plus.

Preferred Skills:

  • Knowledge of programming languages such as Python or R for advanced data analysis.
  • Experience with GIS tools and spatial data analysis.
  • Understanding of data governance and compliance requirements.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunity to work on impactful consulting projects with cross-industry exposure.
  • Collaborative and innovative work environment.
  • Professional development and growth opportunities.