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Internship Environmental Data Analyst Jobs (NOW HIRING)

We are currently seeking an Environmental Data Analyst to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment. This is an excellent ...

We are currently seeking an Environmental Data Analyst to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment. This is an excellent ...

We are currently seeking an Environmental Data Analyst to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment. This is an excellent ...

Job Summary Langan is seeking an Environmental Data Analyst to join its collaborative team in New York City. This individual will serve a key function in providing technical support to field sampling ...

Job Summary Langan is seeking a Senior Environmental Data Analyst to join its Data Management & Analytics (DMA) team in our Parsippany NJ office. This role is ideal for an experienced environmental ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

WSP is currently initiating a search for an Environmental Data Analytics Specialist for our Redmond ... Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

Data Analyst. Location: Sunnyvale, CA. Duration: Long Term Contract. Direct Client: Req. ... Demonstrated ability to initiate and drive tasks independently within a data-centric environment.

This position requires an ability to deliver ad-hoc style reporting solutions in a fast paced environment. Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics ...

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Internship Environmental Data Analyst information

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How much do internship environmental data analyst jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship environmental data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does an Internship Environmental Data Analyst do?

An Internship Environmental Data Analyst assists in collecting, processing, and analyzing environmental data to support research or compliance projects. Their tasks often include data entry, statistical analysis, and preparing reports on environmental topics such as air quality, water resources, or pollution. They may also help with field sampling or maintaining databases, working closely with scientists and engineers to interpret results. This role provides valuable hands-on experience in environmental science and data analysis, helping interns develop skills needed for a career in the environmental sector.

What is the difference between Internship Environmental Data Analyst vs Environmental Data Analyst?

AspectInternship Environmental Data AnalystEnvironmental Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in environmental science, data analysis, or related fieldBachelor's or master's degree in environmental science, data analysis, or related field; some roles may prefer certifications
Work EnvironmentInternship programs, often part-time or temporary, in government agencies, NGOs, or private companiesFull-time professional roles in similar settings, with more responsibilities
Employer & Industry UsageUsed as a training position to gain experience in environmental data analysisFull-fledged role for experienced analysts managing environmental data projects

The main difference between an Internship Environmental Data Analyst and an Environmental Data Analyst is experience level and responsibilities. Internships are entry-level, providing training and exposure, while full-time analysts handle complex data projects independently.

What are the key skills and qualifications needed to thrive as an Internship Environmental Data Analyst, and why are they important?

To thrive as an Internship Environmental Data Analyst, you need a solid background in environmental science, statistics, and data analysis, typically supported by progress toward a relevant degree. Familiarity with data analysis tools such as Excel, R, Python, and GIS software is commonly required. Strong attention to detail, effective communication, and problem-solving abilities help you interpret complex data and present findings clearly. These skills ensure accurate environmental assessments and actionable insights that support sustainability and regulatory compliance.

What types of projects and data analysis tasks can an Internship Environmental Data Analyst expect to work on?

As an Internship Environmental Data Analyst, you can expect to work on a variety of projects involving the collection, cleaning, and interpretation of environmental data such as air or water quality, waste management, or climate trends. Your daily tasks may include using software tools like Excel, R, or Python to analyze large datasets, generating visual reports, and contributing to ongoing research or environmental impact assessments. You’ll often collaborate closely with scientists, engineers, and policy makers, learning how your analysis supports broader environmental goals. These experiences offer valuable exposure to real-world applications of data analysis and can help pave the way for future roles in environmental science or data analytics.
More about Internship Environmental Data Analyst jobs
What cities are hiring for Internship Environmental Data Analyst jobs? Cities with the most Internship Environmental Data Analyst job openings:
What are the most commonly searched types of Environmental Data Analyst jobs? The most popular types of Environmental Data Analyst jobs are:
What states have the most Internship Environmental Data Analyst jobs? States with the most job openings for Internship Environmental Data Analyst jobs include:
Infographic showing various Internship Environmental Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Environmental Data Analyst

Environmental Data Analyst

GSI Environmental Inc.

Olympia, WA • On-site

$76K - $110K/yr

Full-time

Posted 3 days ago

New


Job description

Description
GSI is seeking an Environmental Data Analyst who combines technical ability, analytical creativity, and business acumen to strengthen our data management, analysis, and visualization team. The ideal candidate is comfortable across the full data lifecycle-building and maintaining relational databases, developing analysis and automation pipelines in SQL, Python, and/or R, and providing query, reporting, and visualization support in a collaborative organization working closely with technical staff. Familiarity with environmental chemistry data generated from field investigations of water, soil, sediment, air, and biological matrices is valued. The candidate should know how to analyze system requirements and be familiar with relational databases, statistical analysis, and modern data visualization techniques using relevant and current tools.
GSI provides high-quality technical and regulatory expertise to industry and government to address a broad range of environmental issues. We specialize in solving complex environmental problems by leveraging our extensive knowledge of environmental regulations, stressing accurate data collection and analysis, and applying new technologies to our clients' most difficult challenges.
Responsibilities
  • Support environmental investigation projects by maintaining relational databases of environmental chemistry data from historical reports, laboratory test results, web sources, and third-party databases.
  • Build and maintain ETL (extract, transform, load) and analysis workflows in SQL, Python, and/or R to clean, transform, validate, and analyze environmental datasets.
  • Work with multi-disciplinary teams of engineers and scientists to support statistical and spatial analyses.
  • Build dashboards and visualizations, and format tables, charts, and graphs to style guidelines for technical reports and presentations.
  • Organize data in structures that support automation and downstream analysis.
  • Perform quality assurance on analytical databases to ensure data integrity, and identify and correct data gaps, errors, and relational table issues.
  • Support a wide variety of projects ranging from litigation support and site investigation to data mining for research and development.
  • Effectively communicate findings to internal and external clients.
  • Complete assigned tasks on schedule and within budget while meeting quality standards on deliverables.

  • BS/BA or higher degree in data science, computer science, statistics, environmental science, or a related field.
  • 2-5 years of work experience in data management or analysis, with strong relational database skills using PostgreSQL, Microsoft SQL Server, Microsoft Access, or other database management systems.
  • Comfortable writing advanced SQL for data management (beyond basic create, read, update, delete), to clean, transform, and structure data in relational databases.
  • Familiarity with relational database design, data modeling, and normalization.
  • Awareness of data compilation, migration, and backup/retention considerations.
  • Shell scripting (Bash) and comfort working in Linux and command-line environments.
  • Experience using Python and/or R (Tidyverse, Shiny) for data analysis, visualization, dashboards, and web applications, including hands-on project work.
  • Self-motivated and eager to learn, with a drive to adopt new data and analysis techniques, AI, and emerging technologies to improve workflows.
  • Excellent written and verbal communication, and the ability to manage multiple tasks and meet deadlines with limited supervision.
  • Strong problem-solving skills and attention to detail.
  • Additional preferred skillsets and qualifications include:
    • Familiarity with chemistry data, laboratory information management systems (LIMS), data validation, and extraction of data from online sources.
    • Version control (Git) and reproducible, scripted analysis workflows.
    • Application development and deployment, including web frameworks for data tools (e.g., Django, Flask/FastAPI, Dash, Streamlit, R Shiny). Familiarity with containerization (Docker) is a plus.
    • Experience with embedded and analytical database engines (e.g., SQLite, DuckDB) for local analysis, prototyping, and data interchange.

Job Perks
  • Competitive salary and benefits
  • Quarterly and year-end bonuses
  • Flexible work environment with potential for remote work
  • On-the-job training, mentorship, and professional development
  • Participation in conferences, technical presentations, and papers
  • Collaborative atmosphere
  • Base salary will vary depending on qualifications and experience.

The anticipated salary range for this position is $76,000-$110,000. This range represents GSI's good-faith estimate of the base salary for the position and is provided in accordance with applicable pay transparency laws. Starting salary will be determined based on several job-related factors, including relevant experience, education, professional licensure, certifications, technical expertise, geographic location, internal equity, and overall qualifications.