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Data Analysis Intern Jobs in Basking Ridge, NJ (NOW HIRING)

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As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the ... advanced analytics, with exposure to modern AI techniques. You will contribute to projects that ...

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

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Data Analysis Intern information

See Basking Ridge, NJ salary details

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$43

How much do data analysis intern jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analysis intern in Basking Ridge, NJ is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.29 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Analysis Interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What Do Data Analysis Interns Do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What does a Data Analysis Intern do?

A Data Analysis Intern assists in collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, or Python to analyze datasets, create visualizations, and generate reports. Interns work under the supervision of experienced data analysts or data scientists, learning to apply statistical techniques and solve real-world business problems. This role provides hands-on experience in data analytics and helps interns develop valuable technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Analysis Intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
What job categories do people searching Data Analysis Intern jobs in Basking Ridge, NJ look for? The top searched job categories for Data Analysis Intern jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Data Analysis Intern jobs? Cities near Basking Ridge, NJ with the most Data Analysis Intern job openings:
Infographic showing various Data Analysis Intern job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 2% Internship, 29% Full Time, 58% Part Time, 3% Temporary, and 8% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $48,239 per year, or $23.2 per hour.
Ridership Analysis & Modeling, Emerging Talent Intern (Fall)

Ridership Analysis & Modeling, Emerging Talent Intern (Fall)

Metropolitan Transportation Authority

New York, NY • On-site

$21/hr

Internship

Posted 7 days ago


Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

38th of 76 rated public transport


Job description

Job ID: 15647
Business Unit: MABSTOA
Location: New York, NY, United States
Regular/Temporary: Intern
Department: NYC Transit Authority
Date Posted: May 5, 2026
Description
Department: Operations Planning
Location: 2 Broadway, New York, NY 10004
Position Title: Ridership Analysis & Modeling, Emerging Talent Intern
Hourly Rate: $21.00 (Graduate)
All internship positions are onsite and require regular, in-person attendance at the designated work location.
OVERVIEW OF DEPARTMENT:
Ridership Analysis & Modeling (RAM) serves as an internal consultant to NYCT on all aspects of ridership patterns, passenger movement, and short- and long-term trends across subway and bus systems. The RAM group develops and improves models and tools used to estimate statistics and forecast rider behavior during normal operations and in cases of planned work, to improve schedule accuracy and better target customer information. RAM works cross-functionally across the agency to extract narratives from massive amounts of data, both directly observed and estimated.
The selected candidate will help support; RAM GIS projects will maintain and enhance bus network datasets while developing new analytical tools to support transit planning and federal reporting. Key work includes updating the DOT Bus Lane Segments shapefile and the Bus Route LION Matching GIS data. The updated GIS data will replace and modernize the current fixed guideway federal reporting process. Integrating the updated GIS data with existing bus speed sources will also allow teams to easily calculate and predict bus running times for any corridor or proposed route. Additional initiatives include backend development for the OP ArcGIS Online Portal and its integration with the Data Lake.
RESPONSIBILITIES:
  • Update and maintain GIS datasets, including the Bus Lane Segments shapefile and Bus Route LION Matching data, ensuring accuracy and consistency across systems.
  • Perform spatial data validation, cleaning, and quality assurance to support reliable transit planning and federal reporting outputs.
  • Assist in integrating GIS datasets with bus speed and operational data to support analysis of corridor performance and running time estimation.
  • Develop and refine geospatial analysis tools and workflows to improve efficiency.
  • Support the modernization of fixed guideway reporting processes by contributing to updated GIS-based reporting frameworks.
  • Assist in backend development and data structuring for the OP ArcGIS Online Portal, improving accessibility and usability for internal teams.
  • Document data processes, methodologies, and updates to ensure transparency, reproducibility, and long-term maintainability of GIS resources.
  • Collaborate with cross-functional teams, including Operations Planning and Data & Analytics, to align datasets and analytical outputs.

PROJECTS:
The intern will assist the Ridership Analysis Modelling in the course of its work, as described above. Expected deliverables will include:
  • Bus Route and Lion Street Network Matching/Bus Lane Inventory Maintenance.
  • Bus Lane Ridership and Speed Report/Dashboard.
  • OP ArcGIS Online Portal and its integration with the Data Lake.

REQUIRED QUALIFICATIONS:
  • Proficiency in Microsoft Office Suite is a must.
  • The candidate should possess organizational, analytical and communication skills.
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.

REQUIRED EDUCATION:
  • Matriculated in a graduate program in good standing with at least 2.8 GPA
  • Major(s) Preferred: City & Regional Planning, Civil Engineering, Transportation Engineering, Urban Studies, Public Policy, Public Affairs, Computer Science, Data Science, or related field.

All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted.
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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