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Data Analytics Internship information

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$13

$24

$45

How much do data analytics internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics internship in Hackensack, NJ is $24.54, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $26.73 per hour, depending on experience, location, and employer.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What does a data analytics internship do?

A data analytics internship involves assisting with data collection, cleaning, and analysis to support business decision-making. Interns often use tools like Excel, SQL, or Python and gain experience in data visualization and reporting under supervision. The role provides practical skills in data analysis and understanding of industry-standard software.

What are popular job titles related to Data Analytics Internship jobs in Hackensack, NJ?

For Data Analytics Internship jobs in Hackensack, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analytics Internship jobs in Hackensack, NJ look for?

The top searched job categories for Data Analytics Internship jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Data Analytics Internship jobs?

Cities near Hackensack, NJ with the most Data Analytics Internship job openings:

Data Analytics Internship jobs near you
Infographic showing various Data Analytics Internship job openings in Hackensack, NJ as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $51,052 per year, or $24.5 per hour.

Product Manager, Alternative Data - Analytics

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 245 rated software companies

Job description

Product Manager, Alternative Data - Analytics
Location
New York
Business Area
Product
Ref #
10053138
Description & Requirements
Who we are:
The Bloomberg Alternative Data team is a fast-growing, high-impact product group building the next generation of data and analytics for company research and intelligence. Our mission is to make alternative data as essential to investment workflows as traditional fundamentals - at global scale.
We sit at the intersection of data science, finance, and product, and are responsible for some of Bloomberg's most differentiated analytics.
What's in it for you:
As a Product Manager on Bloomberg's Alternative Data team, you will create and own a core set of proprietary analytics that translate raw alternative datasets into actionable insights for investors.
In this role, you will lead the development of new proprietary analytics that will provide clients with real-time data-driven insights into company performance. These products sit at the heart of Bloomberg's alternative data strategy and are critical to scaling adoption. You'll work closely with data scientists, engineers, and research partners to design methodologies, validate signals, and deliver analytics used daily by thousands of clients.
The analytics you build will become foundational across Bloomberg - powering Terminal workflows, AI-driven insights, and future data products. This is a highly visible role with the opportunity to shape how alternative data is used by investors and help transform the future of investment research.
We'll trust you to:
  • Collaborate with the product team to drive the strategy, roadmap and requirements for alternative data in the company research workflow applications
  • Own the product vision, roadmap, and execution for proprietary alternative data analytics
  • Partner closely with data science and engineering to define methodologies
  • Translate complex analytical concepts into intuitive, client-facing product experiences embedded in Bloomberg workflows
  • Deeply understand our target user's business, workflows, and objectives to ensure analytics address real investment questions
  • Lead cross-functional collaboration across product, engineering, data science, research, sales, and GTM teams
  • Define success metrics for analytics adoption, usage, and downstream impact on client workflows
  • Act as product owner for one or more Agile teams, managing priorities, trade-offs, and delivery

You'll need to have:
  • 5+ years' experience in financial services, with a data-driven mindset and experience working with alternative data
  • Demonstrated understanding of alternative data and how it is applied to investment research and company analysis
  • Experience working with analytical products, metrics, or models (e.g., estimates, benchmarks, indices, composites, signals)
  • Understanding of the alternative data market landscape and associated use cases/workflows for our products in the market
  • Ability to collaborate closely with data scientists and engineers on complex analytical problems
  • Strong judgment in making trade-offs between analytical sophistication, scalability, and usability
  • Excellent written and verbal communication skills, including the ability to explain complex problems clearly to technical and non-technical audiences
  • A highly collaborative, ownership-oriented mindset

We'd love to see:
  • Product management experience building data, analytics, or research platforms
  • Experience operating in large organizations with multiple stakeholders

If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime, check out our latest press release here and Bloomberg Pro Tips video here.
Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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