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Data Analytics Internship Jobs in Hackensack, NJ

Data and Transformation Associate

Manhattan, NY · On-site

$17.75 - $22.75/hr

Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field. * Academic or internship-based knowledge of databases, web ...

Data and Transformation Associate

Manhattan, NY · On-site

$17.50 - $22.75/hr

Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field. * Academic or internship-based knowledge of databases, web ...

No prior professional analytics experience required! We're looking for someone who is curious about data, eager to learn and excited to understand the story behind the numbers. Previous internships ...

No prior professional analytics experience required! We're looking for someone who is curious about data, eager to learn and excited to understand the story behind the numbers. Previous internships ...

... work, internship, or project experience in an analytics role Familiarity with major US federal ... of geospatial data and performing common spatial manipulations (intersects, centroids ...

... work, internship, or project experience in an analytics role Familiarity with major US federal ... of geospatial data and performing common spatial manipulations (intersects, centroids ...

... work, internship, or project experience in an analytics role Familiarity with major US federal ... of geospatial data and performing common spatial manipulations (intersects, centroids ...

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Data Analytics Internship information

See Hackensack, NJ salary details

$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:

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.

Data and Transformation Associate

Valley National Bancorp

Morristown, NJ • On-site

$16.50 - $21.50/hr

Other

Posted 18 days ago


Job description

Job Title

Responsibilities include but are not limited to:

  • Participate in classroom training to deepen knowledge in specific professional skills as well as banking and fintech concepts.
  • Learn the core business activities of a commercial & consumer bank.
  • Complete projects within assigned track in a timely manner and collaborate effectively across teams within the Data-Analytics, Technology and Transformation organizations.
  • Work on transformational projects aligned with strategic objectives.
  • Follow best practices and standards for coding, testing, documentation, and security.
  • Develop data driven presentations.
  • Under Managements direction, learns to manage projects, completing specific assigned tasks.
  • Analyze, organize, and use data & insights to support decision making.

Required Skills:

  • Strong analytical skills.
  • Excellent verbal and written communication skills.
  • Ability to work independently and collaboratively in a team.
  • Ability to learn quickly and apply new skills and knowledge.
  • Attention to detail and quality.
  • Ability to adapt to changing priorities and environments.
  • Intermediate skills in Microsoft Excel, PowerPoint, and Word.
  • Must demonstrate initiative, curiosity, and creativity in solving problems and learning new skills.

Required Experience:

  • Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field.
  • Academic or internship-based knowledge of databases, web services, cloud computing, security and project management.

Preferred Experience:

  • 0-2 years of relevant work or internship experience supporting Transformation, Technology or Data organization.
  • Proficiency in one or more programming languages such as Java, Python, C#, or JavaScript.
  • Experience with data analysis, visualization, or machine learning is a plus.
  • Familiarity with software development tools and methodologies such as Git, Agile, or Scrum.