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Internship Environmental Data Analyst Jobs (NOW HIRING)

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

... ad-hoc environment to process information. What You Will Need: * Must be able to OBTAIN and ... ONE (1) or more years of experience (includes internships) working with large amounts of data

Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting Familiarity with ...

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

We place a priority on promoting a supportive and collegial team environment and enhancing staff ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

Data Analyst

Annapolis, MD · On-site

$130K - $190K/yr

... data environments. * Data Lifecycle Management: Lead efforts in data discovery, collection ... Spatiotemporal Analysis: Apply spatiotemporal technologies and methods to track and analyze ...

... data environments. * Data Lifecycle Management: Lead efforts in data discovery, collection ... Spatiotemporal Analysis: Apply spatiotemporal technologies and methods to track and analyze ...

We place a priority on promoting a supportive and collegial team environment and enhancing staff ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

This internship offers exposure to analytics, risk management, regulatory considerations, and ... Manage multiple projects and priorities in a fast-paced environment. * Gain exposure to data ...

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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 Sep 4, 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.

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Infographic showing various Internship Environmental Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analyst

Air

Arlington, VA

Full-time

Re-posted 14 days ago


Job description

Company Description
Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
 
Job Description
Air is looking for motivated, curious, and data-driven individuals to join our team as Implementation Engineers.  Implementation Engineers at Air have a quantitative mindset and firm understanding of how to use technology and data to solve hard customer problems. Implementation Engineers are responsible for leveraging quantitative skills to configure Air's technology to achieve customer outcomes, communicate data-driven insights to executives in the national security community, and produce compelling program insights, data visualization, and briefings. 
 
In order to do this job well, you must be analytical, understand people, have a strong drive to use technology to solve the hardest problems, and want to learn everything, particularly about the most pressing national security challenges confronting the nation and how data and machine learning can help address them. 
 
You're eager to build a deep understanding of US Government and Defense acquisition processes and the importance of effective and efficient program management, supply chain risk management, and program and technology modernization. You ask hard, uncomfortable questions. You know there are always multiple answers to hard problems, and you know how to engage in a constructive dialogue to find the best path forward.
 
This role is a full-time position located out of our office in Arlington, VA.
This role requires 60% travel to client sites across the United States - CONUS and OCONUS
Scope of Responsibilities
  • Develop expertise in Air's clients, offerings, and data, and support customers as an Air product and data expert
  • Execute the successful implementation of software and data to Air's customers and provide platform training
  • Use coding languages (SQL, Python) to conduct technical platform configuration and data integration
  • Collaborate with Air Engagement Managers and Product Managers to capture market demand and user needs for inclusion into Air's offerings
  • Proactively drive utilization of the product using targeted training and engagement strategies that drive mission outcomes and analytical insights for platform users
  • Develop and maintain documentation, such as tailored user guide reference materials
  • Conduct research and develop quantitative analytic reports using Air technology and data 
  • Orally and visually present data-driven findings concisely and compellingly to internal teams, as well as government officials
  • Demonstrate knowledge in areas such as US Government programs and operations, federal acquisitions and program management, government procurement practices, supplier assurance, federal contracting, Planning, Programming, Budgeting, and Execution (PPBE), Supply Chain Risk Management, and Open Source Intelligence (OSINT) analysis
Depending on your background and expertise, you could also be responsible for:
  • Support the success of Air clients via end-user training and user support
  • Provide technical workflow development and configuration
  • Communicate data-driven insights to executives in the national security space
  • Conduct in-depth quantitative and qualitative analyses on problems of importance to U.S. national security community using data visualization, compelling written paper and briefings
  • Provide product demonstrations in support of sales pursuits efforts
Qualifications
  • U.S. Citizenship is required
  • Bachelor's Degree in  Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science, International Relations, Political Science, International Security or similar fields, or 1-4 years of equivalent experience
Required Skills: 
  • Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and debug code independently. Comfort in more than one is a plus, but working ability in one is required.
  • 2-6 years of relevant experience,  including undergraduate or graduate roles  or internships, performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills
  • Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation
  • Strong aptitude for solving open-ended issues in unpredictable, unstructured environments
  • Outstanding listening, verbal, and written communication skills
  • Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision
Desired Skills: 
  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • 1+ years of relevant experience in user support or user engagement with a focus on platform and product utilization
  • Knowledge of defense acquisition life cycle and program management, technology scouting, and supply chain risk management
  • Knowledge of  languages/applications, such as React, Typescript, Java, C, GoLang,  or the ability to quickly learn these skills
  • Experience  within advisory services, software-as-a-service (SaaS), information services, analytic tools, or data analytics industries
  • Demonstrated ability to conduct relevant business case studies and market analysis using internal and open-source data sources
  • History of engaging with and presenting to federal Government stakeholders
We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
 
Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.