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Internship Environmental Data Analyst Jobs (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site

$75K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analytical logic: help define how rules and analytical logic are represented, versioned, and ... Strong environmental and data science background, with the ability to reason about how ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Stronger together, we promote an environment where individuals can thrive. Data Analyst Location ... Internship, co-op, research, or academic project experience involving data analysis, programming ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Stronger together, we promote an environment where individuals can thrive. Data Analyst Location ... Internship, co-op, research, or academic project experience involving data analysis, programming ...

Hands‑on experience turning raw data into analysis used in live mandates. * Exposure to deal processes and financial modelling workflows. * Skill growth with Excel, data wrangling and visualisation ...

New

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.

As a Data Analyst you will be responsible for analyzing complex court data, identifying trends and ... Employee-Centric Environment * Comprehensive Benefits Package * Holiday and Vacation Equal ...

As a Data Analyst you will be responsible for analyzing complex court data, identifying trends and ... Employee-Centric Environment * Comprehensive Benefits Package * Holiday and Vacation Equal ...

WORK ENVIRONMENT While performing the duties of this job, the employee is occasionally exposed to ... internships, academic projects, or hands-on experience acceptable). Experience working with ...

Data Analyst

El Paso, TX · On-site

$50K - $115K/yr

... environments. This role will involve working with diverse data sets, ensuring accuracy and ... Compile and analyze data from multiple sources, identifying trends across various data sets ...

... or internships, performing national security-related analytics; preference for research ... Strong aptitude for solving open-ended issues in unpredictable, unstructured environments

Data Analyst

El Paso, TX · On-site

$50 - $115/hr

... environments. This role will involve working with diverse data sets, ensuring accuracy and ... Compile and analyze data from multiple sources, identifying trends across various data sets ...

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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 Aug 20, 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 are the key skills and qualifications needed to thrive as an internship environmental data analyst?

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.

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.

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 August 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Environmental Data Scientist

Lynker Corporation

Boulder, CO • On-site

$75K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.
 
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.


Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) – we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.