ZipRecruiter

Log In

1

Forestry Data Analyst Jobs in Virginia (NOW HIRING)

STIHL Inc.

Data Engineer & BI Analyst

Virginia Beach, VA · On-site

$101K - $123K/yr

Since revolutionizing the forestry industry in Germany with the first electric chainsaw in 1926 ... analytics, and data-driven decision-making across the company. This role requires someone who ...

ManTech International

Data Scientist

Ashburn, VA · On-site

$83K - $139K/yr

Perform hands-on analysis and modeling involving the creation of intervention hypotheses and ... Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. * Experience with ...

ManTech

Data Scientist

Ashburn, VA · Hybrid

$83K - $139K/yr

Perform hands-on analysis and modeling involving the creation of intervention hypotheses and ... Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. * Experience with ...

IC-CAP LLC

Data Scientist IV TALO094

Herndon, VA · On-site

... random forests, and ensemble methods. Understands Data Visualization and is able to employ ... Possesses knowledge and experience of advanced analytics, cloud architecture, and data storage.

Fanniemae

Audit Data Science Advisor

Reston, VA · On-site

Develop advanced analytics, AI, and data science solutions to solve complex business and technical ... random forests, and neural networks. * Strong technical writing, presentation, and executive ...

Socket.dev

Associate Data Scientist

Richmond, VA · On-site

$105 - $128/hr

Strong analytical foundation, ideally with a Master's in a quantitative or STEM field, and an ... Forests, Decision Trees, Bayesian models). * Exposure to data and compute platforms such as ...

next page

Showing results 1-20

All JobsForestry Data Analyst JobsForestry Data Analyst Jobs in Virginia

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 Virginia?

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

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

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

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

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

Forestry Data Analyst jobs near you
Infographic showing various Forestry Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer & BI Analyst

Virginia Beach, VA • On-site

STIHL Inc.
Manufacturing • 1 - 5K employees

8.4

Company rating: 8.4 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

99th of 495 rated machine equipment manufacturers

Good employer

Recommended by parents

Uninterrupted breaks

Learn more about STIHL Inc.external

$101K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

About Us

As a family-owned company, it's the people who continue to make STIHL a successful, world-class brand. Since revolutionizing the forestry industry in Germany with the first electric chainsaw in 1926, the STIHL name has remained synonymous with outstanding innovations, high-quality products and comprehensive service.

With competitive compensation, excellent benefits and exciting growth potential, it is a great time to join the STIHL team!

Why You'll Love Working at STIHL:

  • Excellent health benefits including Medical, Dental & Vision Insurance
  • Onsite Health & Wellness Center for employees and eligible family members
  • Company-paid Life Insurance and Short & Long-Term Disability
  • Robust retirement offerings including:
    • A fully vested Pension Plan after 5 years
    • A 401(k) with generous employer match
  • Paid time off in addition to 11 Paid Holidays
  • A strong culture of stability, community, and innovation
  • Compensation: $101,000-$123,000 per year with bonus opportunities and potential for annual merit increases. Actual compensation will depend on experience, qualifications, and internal equity
About You

You are responsible for helping to build and maintain the infrastructure that powers critical business reporting, advanced analytics, and data-driven decision-making across the company.  This role requires someone who thrives in complex data environments, solves ambiguous problems with clarity, communicates effectively with both technical and non-technical stakeholders, is curious, resourceful, and eager to learn new tools and systems.

Job Duties & Responsibilities
  • Design, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure Data Factory.
  • Structure and manage Power BI semantic models using Tabular Editor and deployment pipelines.
  • Diagnose and resolve data issues spanning multiple systems, including ADF, Databricks, and Power BI.
  • Apply strong debugging skills to identify root causes of data mismatches, pipeline failures, and performance issues.
  • Collaborate with stakeholders across business functions to clarify data needs and communicate technical concepts.
  • Contribute to continuous improvement of our data infrastructure, identifying and implementing scalable solutions.
Specifications
  • Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, or related field preferred.
  • 5+ years of experience in a data engineering, BI engineering, or similar technical role.
  • Hands-on experience building pipelines with Databricks and/or Azure Data Factory.
  • Strong proficiency with Python for data manipulation and transformation.
  • Working knowledge of Power BI, including dataset design, relationships, and refresh behavior.
  • Experience working in Git-based workflows.
  • Demonstrated skill in debugging issues spanning ingestion, transformation, and reporting layers.
  • Clear written and verbal communication skills, especially when explaining technical topics to non-technical stakeholders.
  • Strong collaboration skills - shares knowledge, coordinates effectively, and communicates blockers early.
  • Proven ability to prioritize and problem-solve in ambiguous or high-pressure situations.
  • Proactive approach to improving reliability, performance, or maintainability of existing systems.
  • Experience in AI, machine learning, or emerging data technologies - especially where they intersect with analytics and reporting.
  • Designing and developing AI solutions using common industry cloud platforms such as Microsoft Azure, Databricks, AWS, or Fabric
  • Knowledge of Power BI Premium capacity and refresh management.
  • Exposure to metadata-driven frameworks and config-based pipeline logic.
  • Familiarity with Unity Catalog, Terraform, or other emerging Databricks tools.
  • Experience in automation, optimization, and reducing manual overhead in analytics systems.

What STIHL employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply