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Data Analysis Internship Jobs in Edison, NJ (NOW HIRING)

Producing data analysis for and providing feedback on data visualizations and descriptions in ... work, internship, or project experience in an analytics role Familiarity with major US federal ...

... internship experience * Comfort with analyzing novel data and explaining concepts to non-technical ... Experience leveraging data analysis as part of fundamental research process for business, public ...

... internship experience * Comfort with analyzing novel data and explaining concepts to non-technical ... Experience leveraging data analysis as part of fundamental research process for business, public ...

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Data Analysis Internship information

See Edison, NJ salary details

$12

$23

$43

How much do data analysis internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analysis internship in Edison, NJ is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

What is a data analysis internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What are the key skills and qualifications needed to thrive as a data analysis intern?

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a data analysis internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.

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

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

Is a data analysis internship worth it?

A data analysis internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can improve employability, build a professional network, and often leads to full-time opportunities in data-related roles. The value depends on the internship's quality and how well it aligns with career goals.

What are the most commonly searched types of Data Analysis jobs in Edison, NJ?

The most popular types of Data Analysis jobs in Edison, NJ are:

What are popular job titles related to Data Analysis Internship jobs in Edison, NJ?

For Data Analysis Internship jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analysis Internship jobs in Edison, NJ look for?

The top searched job categories for Data Analysis Internship jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Data Analysis Internship jobs?

Cities near Edison, NJ with the most Data Analysis Internship job openings:

Infographic showing various Data Analysis Internship job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $48,459 per year, or $23.3 per hour.

Data Analyst

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

Re-posted 13 days ago


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

14th of 891 rated healthcare providers


Job description


NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Data Analyst.
The Department of Population Health at NYU Grossman School of Medicine seeks a Data Analyst to support the City Health Dashboard and Congressional District Health Dashboard projects. The analyst will support two national interactive websites that track health and health-related metrics, the City Health Dashboard (www.cityhealthdashboard.com) and Congressional District Health Dashboard (www.congressionaldistricthealthdashboard.org). This will involve working with data at the federal, congressional district, county, city, census tract, and census block levels; aggregating geographic data; and rigorously calculating population health metrics that align with administrative boundaries. The analyst should have excellent R programming skills. We are especially seeking an analyst to support our geospatial analysis work.
We are a dynamic and diverse team that values collaboration, growth, and passion for public health. We strive for a supportive environment that encourages team members to maintain high standards for the quality of their work while also maintaining a balance with other life priorities.
Job Responsibilities:
  • Retrieving, analyzing, and evaluating health metric data parsed to various geographic boundaries for use in project websites with attention to issues of sample size, bias, and timeliness
  • Exploring new geospatial calculation methods, monitoring administrative boundary updates, and generating geographic boundaries for website release
  • Documenting workflows and methodological challenges to generating health metric estimates across various geographies
  • Regularly presenting analytic processes and results to other team members
  • Producing data analysis for and providing feedback on data visualizations and descriptions in communications materials, blogs, journal articles, reports, and policy briefs, including drafting sections of such materials as needed
  • Providing background research, code development, and workflow testing for the team's data infrastructure systems, and maintaining existing R functions and SQL databases
  • Providing background research, obtaining and wrangling data, writing code and conducting metric validation as part of the team's new metric research process
  • Other administrative, analytic, or research tasks as necessary

Minimum Qualifications:
To qualify you must have a A masters degree in a related field (biostatistics, epidemiology, public health) or equivalent combination of education and experience
Skill and experience in the R statistical programming software
Familiarity with commonly used public health metrics
Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts, etc.)
Experience in R tidyverse packages, writing functions in R, SQL, and Git
Demonstrated interest in public health and health equity
Ability to perform basic statistical and descriptive analyses and interpret the results
Ability and interest in working respectfully, reliably, and collaboratively with other team
members on multiple projects simultaneously.
Ability to be detail-oriented, organized, and take initiative on projects
This is a hybrid position. Candidates must be willing and able to commute to mid-town
Manhattan at least once per week
Preferred Qualifications:
2-3 years' work, internship, or project experience in an analytics role
Familiarity with major US federal datasets
Ability to read manuscripts and technical documents and assess the validity of methodological approaches
Experience and interest in working with various types of geospatial data and performing common spatial manipulations (intersects, centroids, reprojections, buffers, etc.)
An attitude of creative and collective problem solving and openness to new ideas
Ability to be detail-oriented, organized, and take initiative on projects
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.60 - $83,475.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
To view the Pay Transparency Notice, please click here

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