ZipRecruiter

Log In

1

Forestry Data Analyst Jobs in Riverside, CA (NOW HIRING)

Forest Service

Realty Specialist

San Bernardino, CA · On-site +1

$50K - $80K/yr

Summary This announcement is being advertised as a Forest Service National Hiring effort to fill ... Coordinate National Environmental Policy Act (NEPA) analysis, and provide program specific ...

New

Z-EV Disty Corp

Be Seen First

Material Planner / Supply Chain Specialist

Lake Forest, CA · On-site

$25/hr

Onsite in Lake Forest, CA Position Type: Full-Time | Temp-to-Hire Pay: $25.00 per hour About the ... Advanced Microsoft Excel skills, including data analysis and reporting. * Strong mathematical and ...

Applied Medical

Lead - Lake Forest

Lake Forest, CA · On-site

$19/hr

Monitor and analyze daily labor times, KPIs, and tracking reports, including web-based applications ... Systems and reporting are accurate and timely, supporting data-driven decision-making * Issues are ...

Abbott

Contract Administrator

Lake Forest, CA · On-site

$61K - $122K/yr

... Forest, Illinois. In this role, you will provide administrative support, strategic analysis, and ... data, and track product and ordering patterns Interface with internal fulfillment group and ...

Abbott

Contract Administrator

Lake Forest, CA · On-site

$61K - $122K/yr

... Forest, Illinois. In this role, you will provide administrative support, strategic analysis, and ... data, and track product and ordering patterns Interface with internal fulfillment group and ...

next page

Showing results 1-20

All JobsForestry Data Analyst JobsForestry Data Analyst Jobs in Riverside, CA

Forestry Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do forestry data analyst jobs pay per year?

As of Aug 5, 2026, the average yearly pay for forestry data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

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 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.

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 popular job titles related to Forestry Data Analyst jobs in Riverside, CA? For Forestry Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Forestry Data Analyst jobs in Riverside, CA look for? The top searched job categories for Forestry Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Forestry Data Analyst jobs? Cities near Riverside, CA with the most Forestry Data Analyst job openings:
Forestry Data Analyst jobs near you

Data Modeler/Data Mapping ETL

Avani Technology Solutions, Inc.

Lake Forest, CA • On-site

$57.75 - $75/hr

Full-time

Re-posted 16 days ago

Job description

Role: Data Modeler/Data Mapping ETL
Location: Lake Forest, CA
Duration: 6 - 12 months and beyond
This is not a SQL/BI development role. Need a data modeler who has strong data mapping experience
Top Three Skills:
Data Mapping/Modeling
Partitioning/database triggering
ETL/BI
Job Description:
Currently we have no architectural map of our data flows from source to all of our systems. We need someone to go through, top to bottom, of all of our source data and map this out, calling out quality issues, process issues, ETL issues, among other things. Also partitioning/database triggering and other core SQL/BI expertise is required It is a large data mapping project and the right candidate will embrace the technical skills to run this project on their own with minimal guidance from team.
  • Perform data mapping, transformation, exploration and BI feasibility studies
  • Acquire data from primary and secondary sources through various connectors or APIs with the knowledge and purpose of underlying data structures.
  • Identify, analyze, and interpret trends or patterns in simple and complex data sets
  • Apply statistical methods to data and generate insights
  • Collect, document, present, and convey insights, evidence and findings
  • Work with DB and BI developers in unit testing views and stored procedures
  • Perform data validation and support report validation
  • Scope and plan on tasks and assess proper estimate of time and effort
  • Stay current with the latest data processing and analysis technology

Apply