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Data Analyst Intern Jobs in Brooklyn, NY (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 weeks | June 1, 2026 - August 15, 2026 Schedule: 40 hours per week Location: Teaneck office Program ...

Actian

RevOps AI Analyst Intern

Manhattan, NY · On-site +1

Intern events - just because the internship is remote, doesn't mean we don't have time for fun ... Actian AI Analyst The Actian AI Analyst is designed to bridge the gap between raw data and ...

Romark Logistics

IT Business Analyst Intern

Westfield, NJ · On-site

$20/hr

We are seeking a motivated IT Business Analyst Intern to support process automation and business ... Contribute to data-driven decision-making initiatives Preferred Qualifications: * Pursuing a degree ...

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How much do data analyst intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for data analyst intern in Brooklyn, NY is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.77 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What types of projects and tasks can a Data Analyst Intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

What does a Data Analyst Intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

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

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

What are the most commonly searched types of Data Analyst jobs in Brooklyn, NY? The most popular types of Data Analyst jobs in Brooklyn, NY are:
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What job categories do people searching Data Analyst Intern jobs in Brooklyn, NY look for? The top searched job categories for Data Analyst Intern jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Data Analyst Intern jobs? Cities near Brooklyn, NY with the most Data Analyst Intern job openings:
Data Analyst Intern jobs near you
Infographic showing various Data Analyst Intern job openings in Brooklyn, NY as of May 2026, with employment types broken down into 20% As Needed, 40% Full Time, 20% Part Time, and 20% Contract. Highlights an 81% Physical, 14% Hybrid, and 5% Remote job distribution, with an average salary of $49,220 per year, or $23.7 per hour.
Data Analyst Intern

Data Analyst Intern

Hanwha Techwin America

Teaneck, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hanwha Vision America - Data Analyst Intern (Summer 2026)
Location: Teaneck, NJ
Duration: 8-12 weeks | June 1, 2026 - August 15, 2026
Schedule: 40 hours per week
Location: Teaneck office
Program Overview:
Hanwha Vision America (HVA) is an affiliate of the Hanwha Group, a Fortune Global 500 company. HVA is an industry-leading provider of advanced network video surveillance products, including IP cameras, storage devices, and video management systems, founded on world-class technologies. We offer end-to-end security solutions and have achieved global success across a wide range of industry verticals, including retail, transportation, education, banking, healthcare, hospitality, and airports.
Hanwha Vision America's immersive summer internship program is designed for rising interns who are eager to directly support a better customer experience. This internship is an excellent opportunity for a student who is developing strong analytical and technical skills and wants to see how data directly influences customer satisfaction, operational efficiency, and business decisions. Your work will help teams understand how customers interact with our support organization, identify friction points, and make informed improvements that impact satisfaction, efficiency, and service quality.
HVA is seeking a Data Analyst Intern to support our Customer Experience and Support teams by helping turn data into clear, actionable insights. In this role, you will work closely with experienced customer experience/support leaders to analyze support and customer data, build dashboards, and help tell the story behind the customer experience.
Key Responsibilities:
  • Support the creation ofdashboards and visual reports that help teams understand customer experience trends and support performance
  • Assist in building and maintaining reports using reporting tools (such as Zendesk Explore and Power BI)
  • Help collect, clean, and prepare data from multiple sources to ensure it is accurate and usable
  • Analyze data to identify patterns, trends, and opportunities related to customer experience and support operations
  • Collaborate with team members to understand reporting needs and translate questions into data insights
  • Help document metrics, dashboards, and reporting logic to improve clarity and consistency
  • Monitor data quality and flag inconsistencies or opportunities for improvement
  • Learn and apply best practices in data visualization and storytelling
  • Participate in training sessions, knowledge sharing, and mentoring opportunities
Qualification:
  • Currently pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field
  • Strong interest in data analysis, reporting, and customer experience
  • Foundational knowledge of Power BI or a strong desire to learn it quickly
  • Familiarity with SQL-style logic, formulas, or scripting used in reporting tools (experience with Zendesk Explore is a plus, but not required)
  • Proficiency in Microsoft Excel and general comfort working with data
  • Exposure to one or more programming or analysis tools such as Python or R (academic or personal projects acceptable)

  • Ability to manage time effectively, ask questions, and learn in a fast-paced environment

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