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Internship Data Analyst Rotational Program Jobs in Bayonne, NJ

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Internship Data Analyst Rotational Program information

See Bayonne, NJ salary details

$12

$22

$42

How much do internship data analyst rotational program jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for internship data analyst rotational program in Bayonne, NJ is $22.75, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.81 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Analyst Rotational Program vs Data Analyst?

AspectInternship Data Analyst Rotational ProgramData Analyst
QualificationsTypically pursuing or recent graduate in data, statistics, or related fieldsUsually requires a bachelor's degree in data, statistics, or related fields; some roles prefer experience
Work EnvironmentInternship setting, often rotational across departments, learning-focusedFull-time professional role, project-driven, with ongoing responsibilities
Employer & Industry UsageCommon in large corporations, tech, finance, consulting for training future analystsEstablished role across industries for data-driven decision making

The Internship Data Analyst Rotational Program is designed for students or recent graduates to gain broad exposure across departments, focusing on learning and development. In contrast, a Data Analyst is a full-time role with specific responsibilities, requiring more experience and offering ongoing career growth in data analysis.

What job categories do people searching Internship Data Analyst Rotational Program jobs in Bayonne, NJ look for?

The top searched job categories for Internship Data Analyst Rotational Program jobs in Bayonne, NJ are:

What cities near Bayonne, NJ are hiring for Internship Data Analyst Rotational Program jobs?

Cities near Bayonne, NJ with the most Internship Data Analyst Rotational Program job openings:

Internship Data Analyst Rotational Program jobs near you
Infographic showing various Internship Data Analyst Rotational Program job openings in Bayonne, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $47,314 per year, or $22.7 per hour.

Data Analyst Internship

New York, NY • Remote

FDR Financial Group
See more jobs at FDR Financial Groupexternal

Full-time

Re-posted 13 days ago

Job description

Description

We are looking for a Data Analyst Intern to join FDR Financial Group, a leading financial services company. As a Data Analyst Intern, you will play a crucial role in analyzing and interpreting complex data sets to help drive business decisions and strategies. This internship offers a valuable opportunity to gain hands-on experience in the financial industry and develop essential analytical skills.

As a Data Analyst Intern at FDR Financial Group, you will work on a variety of projects involving data collection, cleansing, and visualization. Your insights and recommendations will directly impact the company's operations and contribute to its overall success. This role is ideal for individuals interested in data analysis, financial services, and gaining practical experience in a dynamic remote work environment.

Responsibilities:
  • Collect and analyze data to identify trends and patterns.
  • Assist in preparing reports and presentations based on data findings.
  • Collaborate with team members to support data-driven decision-making processes.
  • Conduct quality assurance checks on data to ensure accuracy and reliability.
  • Utilize data visualization tools to present information in a clear and concise manner.
  • Assist in developing and maintaining databases for data storage and retrieval.
  • Support the implementation of data analytics solutions and strategies.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Pursuing a degree in Data Science, Statistics, Mathematics, Economics, or related field.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Proficiency in data analysis tools such as Excel, SQL, or Python.
  • Excellent attention to detail and accuracy in data interpretation.
  • Ability to work independently and collaboratively in a team environment.
  • Good communication skills to present findings and insights effectively.
  • Basic understanding of financial concepts and terminology is a plus.
  • Strong problem-solving skills and a proactive attitude towards learning.