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Forestry Data Analyst Jobs in California (NOW HIRING)

As a data analyst, you will be responsible for compiling actionable insights from data and ... Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests ...

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

Familiar with advanced statistical concepts such as random forests, ensemble methods, LNearest ... Previous experience/internship in data analysis, business intelligence, or Information Technology.

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

Familiar with advanced statistical concepts such as random forests, ensemble methods, LNearest ... Previous experience/internship in data analysis, business intelligence, or Information Technology.

IT Data Analyst Internship 2027

Modesto, CA · On-site

$26.50 - $28.50/hr

Familiar with advanced statistical concepts such as random forests, ensemble methods, LNearest ... Previous experience/internship in data analysis, business intelligence, or Information Technology.

Data Science

San Francisco, CA · On-site

$110 - $170/hr

Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills ... SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering ...

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc ...

Responsibilities We are seeking a Senior Data Scientist for the Data & Analytics Team. The ... random forest), unsupervised techniques (e.g. clustering, anomaly detection), natural language ...

New

URBAN FORESTER

Burbank, CA · On-site

$89K - $117K/yr

Forestry Opening Date: 05/22/2026 Closing Date: Continuous OPEN COMPETITIVE RECRUITMENT Open to all ... data collection and analysis software system; reviews, recommends, and approves tree removal ...

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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 California?

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

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

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

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

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

Infographic showing various Forestry Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Re-posted 3 days ago


Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME