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Data Visualization Intern Jobs in New York (NOW HIRING)

Hanwha Techwin America

Data Analyst Intern

Teaneck, NJ · On-site

Hanwha Vision America - Data Analyst Intern (Summer 2026) Location: Teaneck, NJ Duration: 8-12 ... Learn and apply best practices in data visualization and storytelling * Participate in training ...

Zolve

Be Seen First

Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 ... Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to effectively ...

KPF

BIM Intern

New York, NY · On-site

$22 - $25/hr

The intern's work time will focus on exploring BIM technologies, developing interoperability ... Data visualization * Work directly with 1-2 project teams in advancing their BIM * Help advance ...

Reli Group Inc

Power BI Intern

Flushing, NY

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Reli Group Inc

Power BI Intern

Newark, NJ

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Reli Group Inc

Power BI Intern

Yonkers, NY

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

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Data Visualization Intern information

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How much do data visualization intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for data visualization intern in New York is $18.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.06 per hour, depending on experience, location, and employer.

What is a Data Visualization Intern job?

A Data Visualization Intern assists in transforming raw data into visual formats like charts, graphs, and dashboards to help communicate insights effectively. They work with tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn. Responsibilities often include cleaning and analyzing data, designing visual reports, and collaborating with teams to improve data storytelling. This role provides hands-on experience in interpreting data trends and enhancing decision-making through compelling visuals.

What are the key skills and qualifications needed to thrive in the Data Visualization Intern position, and why are they important?

To thrive as a Data Visualization Intern, you need a strong background in data analysis, an understanding of basic statistics, and familiarity with design principles. Hands-on experience with tools like Tableau, Power BI, or Python visualization libraries, as well as relevant coursework or certifications, is highly valuable. Attention to detail, creative problem-solving, and effective communication skills set candidates apart. These competencies are essential for transforming complex data into clear and actionable insights that support decision-making within an organization.

What are the typical daily responsibilities of a Data Visualization Intern?

As a Data Visualization Intern, your day-to-day tasks often include collecting and cleaning data sets, creating visual dashboards or reports, and collaborating with analysts and other team members to understand project requirements. You may be expected to use tools such as Tableau, Power BI, or programming languages like Python to translate data into interactive and informative visualizations. Additionally, you'll participate in meetings to present your findings, gather feedback, and iterate on your work. This dynamic environment offers opportunities to learn from experienced professionals while developing both your technical and communication skills.
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Data Visualization Intern jobs near you
Infographic showing various Data Visualization Intern job openings in New York as of May 2026, with employment types broken down into 6% Internship, 9% As Needed, 70% Full Time, 12% Part Time, and 3% Contract. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $38,768 per year, or $18.6 per hour.

Data Analyst Internship

FDR Financial Group

New York, NY • Remote

Full-time

Posted 9 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.