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Forestry Data Analyst Jobs in Utah (NOW HIRING)

Jobtailor

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

* Execute large-scale models using advanced analytical, modeling, and machine learning techniques ... Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning ...

New

America First Credit Union

Data Scientist

Ogden, UT · On-site

$90 - $120/hr

Mustbeableto understandthe analytical needsofbusinessusers,and the business, and ... Must have experience with data mining models, for example Linear Regression, Random Forest, Support ...

Octanner

Researcher

Salt Lake City, UT

Random forests * Additional predictive and exploratory models * Produce: * Contribute original ... Analyze data for marketing collateral * Gather and synthesize feedback for multi-stage research ...

OC Tanner

Researcher

Salt Lake City, UT · On-site

Random forests * Additional predictive and exploratory models * Produce: * Contribute original ... Analyze data for marketing collateral * Gather and synthesize feedback for multi-stage research ...

Snap Finance US

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

Snap Finance is looking to strengthen its dynamic, growing analytics department. We are seeking a ... Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest)

Snap Finance

Data Scientist III

West Valley City, UT · On-site

Conducting required analyses incorporating project design, data collection, and analysis ... Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest)

Colorado State University

$60K - $65K/yr

... tostate-wide forest management data. * SupporttheGIShelpdeskand respond tointernal and ... Lead GIStrainingindata use and analysis, andmobile data collection applications for CSFS staff and ...

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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 Utah?

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

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

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

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

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

Forestry Data Analyst jobs near you
Infographic showing various Forestry Data Analyst job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Data Scientist

Riverton, UT • On-site

Jobtailor
See more jobs at Jobtailorexternal

$140 - $210/hr

Other

Posted 2 days ago

New

Job description

  • Execute large-scale models using advanced analytical, modeling, and machine learning techniques
  • Create and support a cloud-based data science solution as part of the data intelligence team
  • Create scalable, efficient, automated processes for data analysis and machine learning models
  • Work closely with data engineers and product managers to turn data analysis into actionable algorithms
  • Champion a data-driven culture and develop data science capabilities
  • Create standards and procedures for data science teams
  • Provide direction for strategic plans and product roadmaps
  • Inform requirements related to creating, tracking, collecting, and accessing data
  • Analyze and protect data, including troubleshooting
  • Follow data science best practices
  • Fulfill the technical lead role for data science solutions
  • Respond to escalated incidents and engage vendors as necessary
  • Conduct research and evaluate emerging trends
  • Aid and mentor teammates
Requirements
  • Master's degree required
  • 12 years of relevant professional experience, including eight years supporting product development activities and guiding technology decisions
  • Experience with machine learning algorithms, including Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, and NLP
  • Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and Keras
  • Significant experience with data mining and statistical analysis
  • Experience leading exploratory analysis with large datasets
  • Ability to lead knowledge discovery and machine learning model development
  • Established track record with data wrangling and data transformation
  • Expert coding ability in an advanced coding language such as Python
  • Senior-level understanding of statistics and mathematics
  • Ability to work with large, complex datasets using SQL or Python
  • Quantitative aptitude and ability to gather and interpret data
  • Comprehensive knowledge of multiple fields of specialization
  • Expertise in automation and deployment
  • Experience in a structured, enterprise-scale operational environment on a global scale with thousands of users
  • Exceptional written and verbal communication, including explaining complex concepts to non-technical audiences
  • Ability to mentor and train peers
  • Strong understanding of supported business processes
  • Troubleshooting ability under pressure and ability to resolve complex problems
  • Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy
  • PhD degree preferred
  • Ability to meet physical requirements such as sitting for long periods and using computer monitors/equipment
Core Competencies

Demonstrates expertise in machine learning algorithms and advanced analytical techniques, with a strong ability to lead data science initiatives and mentor teams. Proficient in creating scalable data solutions and automating processes while ensuring adherence to best practices in data science.

Highest-signal resume keywords
  • Machine Learning Algorithms
  • Expert Knowledge of Scikit-learn
  • Advanced Coding in Python
  • Data Wrangling and Transformation
  • Statistical Analysis
ATS Optimization Keywords Hard Skills
  • Machine Learning Algorithms
  • Data Mining
  • Statistical Analysis
  • Data Wrangling
  • Data Transformation
  • Automation and Deployment
  • SQL
  • Deep Learning
  • Natural Language Processing
  • Quantitative Aptitude
Soft Skills
  • Exceptional Communication
  • Mentoring Ability
  • Troubleshooting Under Pressure
Certifications & Qualifications
  • Master's Degree
  • PhD Degree Preferred
Industry Keywords
  • Data Science Best Practices
  • Data-driven Culture
  • Product Development Activities
  • Enterprise-scale Operational Environment
Tools & Technologies
  • TensorFlow
  • Keras
  • Cloud-based Data Solutions
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