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Internship Environmental Data Analyst Jobs in Rochester, NY

... paced environment. Preferred Qualifications *Experience supporting global clinical trials and regulatory submissions. *Knowledge of clinical data visualization and exploratory data analysis.

... paced environment. Preferred Qualifications *Experience supporting global clinical trials and regulatory submissions. *Knowledge of clinical data visualization and exploratory data analysis.

Senior Associate, MES Support Analyst

Rochester, NY · On-site

$73K - $136K/yr

  • Medical

  • Retirement

  • PTO

Exposure to production environments and the interaction between operators, manufacturing engineers ... data from the shop floor. * Experience through coursework, internships, co-ops, or prior roles ...

Senior Associate, Data Architect

Rochester, NY

$84K - $156K/yr

  • Medical

  • Retirement

  • PTO

... environment where curiosity, communication, and collaboration are highly valued. Essential ... and analytical requirements Build new Power BI dashboards and reports from scratch as well as ...

Posted today

... Data Sheets, Kodak Hazard Ratings and communicate changes to appropriate staff. 9. Deliver ... Able to analyze complex problems, search out relevant information and gauge its importance when ...

Environmental Specialist

Rochester, NY · On-site

$60K - $75K/yr

... analyses to identify and evaluate hazards, recommend occupational exposure controls such as PPE and ... Data Sheets, Kodak Hazard Ratings and communicate changes to appropriate staff. 9. Deliver ...

Showing results 41-60

Internship Environmental Data Analyst information

See Rochester, NY salary details

$11

$22

$41

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

As of Aug 19, 2026, the average hourly pay for internship environmental data analyst in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 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.

What are popular job titles related to Internship Environmental Data Analyst jobs in Rochester, NY?

For Internship Environmental Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Internship Environmental Data Analyst jobs in Rochester, NY look for?

The top searched job categories for Internship Environmental Data Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Internship Environmental Data Analyst jobs?

Cities near Rochester, NY with the most Internship Environmental Data Analyst job openings:

Infographic showing various Internship Environmental Data Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 10% Internship, and 90% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,185 per year, or $22.2 per hour.

Senior Statistical Analyst

2T Consulting

York, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians and cross-functional teams to develop ADaM datasets, generate TLFs, support regulatory submissions, and ensure high-quality statistical programming deliverables for clinical studies.

Primary Responsibilities

*Collaborate with statisticians to develop and implement Statistical Programming Plans (SPPs) and Statistical Analysis Plans (SAPs).
*Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R.
*Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.
*Create and maintain programming documentation, including specifications, annotated code, validation plans, and programming guidelines.
*Perform quality control and validation of statistical programming outputs to ensure compliance with CDISC standards and regulatory requirements.
*Support ad hoc statistical analyses, exploratory data analyses, and data visualization requests.
*Develop and maintain reusable programming macros, utilities, and automation tools to improve efficiency and consistency.
*Provide programming support during regulatory submissions, audits, and inspections.
*Collaborate with study teams to resolve programming and data-related issues while ensuring timely project delivery.
*Identify project risks, escalate issues when necessary, and provide regular status updates.
*Mentor and train junior programmers and contribute to continuous process improvement initiatives.
*Stay current with industry best practices, regulatory guidelines, and advancements in statistical programming.

Required Skills & Qualifications

*Strong proficiency in SAS and R programming for clinical trial data analysis.
*Experience programming and validating ADaM datasets, TLFs, and statistical analyses.
*Advanced knowledge of CDISC standards, including ADaM and SDTM.
*Solid understanding of clinical trial processes, statistical methodologies, and regulatory requirements.
*Experience in therapeutic areas such as Oncology, Immunology, Neuroscience, or other clinical domains.
*Strong analytical, troubleshooting, and problem-solving skills.
*Excellent attention to detail with a strong focus on quality and compliance.
*Effective written and verbal communication skills.
*Ability to collaborate with statisticians, clinical study teams, and external stakeholders.
*Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

Preferred Qualifications

*Experience supporting global clinical trials and regulatory submissions.
*Knowledge of clinical data visualization and exploratory data analysis.
*Experience developing standardized SAS macros and programming utilities.
*Prior experience mentoring or leading statistical programming teams.
*Familiarity with FDA, EMA, and ICH regulatory guidelines for clinical data submissions.