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Entry Level Data Analyst Intern Jobs in New York

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

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Junior Data Analyst

Newark, NJ ยท On-site

$30 - $40/hr

Entry Level Data Engineer Full-Time Candidate must be open to relocate Responsibilities: * Work ... Write and execute SQL queries to extract, transform, and analyze data. * Create and maintain Hive ...

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Quantitative Analyst Intern

New York, NY ยท On-site

$20 - $35/hr

About the role You'll work on high-impact data projects that help Rho detect, prevent, and better ... Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.

Under the supervision of the Project Manager of the Office of the Chief Librarian, intern responsibilities may include: - Assisting with data analysis, data visualization, data cleaning, and ...

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Entry Level Data Analyst Intern information

What does an entry level data analyst intern do?

An Entry Level Data Analyst Intern assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of experienced data analysts, using tools like Excel, SQL, or Python to organize and visualize data. Interns may also help prepare reports and presentations, gaining hands-on experience with real-world datasets and learning essential analytical skills.

What are the key skills and qualifications needed to thrive as an entry level data analyst intern?

To thrive as an Entry Level Data Analyst Intern, you need foundational skills in statistics, data interpretation, and proficiency in Microsoft Excel, often supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with data visualization tools like Tableau, programming languages such as Python or R, and basic knowledge of SQL databases are commonly expected. Strong analytical thinking, attention to detail, and effective communication help you deliver clear insights and collaborate with team members. These skills ensure you can accurately gather, analyze, and present data to support decision-making within an organization.

What types of projects and tasks can I expect to work on as an entry level data analyst intern?

As an Entry Level Data Analyst Intern, you'll typically support the analytics team by cleaning and organizing raw data, assisting in generating reports, and creating basic visualizations using tools like Excel, Tableau, or Power BI. You may also help with data validation, conduct exploratory data analysis, and participate in team meetings to discuss findings. This hands-on experience will give you exposure to real-world datasets and allow you to collaborate closely with experienced analysts and business stakeholders, helping you build foundational skills for a data-driven career.

What is the difference between Entry Level Data Analyst Intern vs Data Analyst?

AspectEntry Level Data Analyst InternData Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in data science, statistics, or related fieldBachelor's degree in data-related field; some roles prefer or require additional certifications or experience
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineEstablished role for analyzing data, generating reports, and supporting decision-making

The main difference is that an Entry Level Data Analyst Intern is a temporary, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into the data analysis career path, whereas Data Analysts are expected to independently handle data projects and contribute to organizational goals.

What cities in New York are hiring for Entry Level Data Analyst Intern jobs?

Cities in New York with the most Entry Level Data Analyst Intern job openings:

Infographic showing various Entry Level Data Analyst Intern job openings in New York as of July 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 67% In-person, and 33% Remote job distribution.

Data Analyst Internship

FDR Financial Group

New York, NY โ€ข Remote

Full-time

Re-posted 4 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.