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Data Analytics Intern Jobs in Edison, NJ (NOW HIRING)

... an Analytics & Reporting Intern, you will: * Support analytics and reporting across social media ... Help turn data into clear takeaways, charts and visualizations for client-ready reports and ...

... an Analytics & Reporting Intern, you will: * Support analytics and reporting across social media ... Help turn data into clear takeaways, charts and visualizations for client-ready reports and ...

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

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Data Analytics Intern information

See Edison, NJ salary details

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$43

How much do data analytics intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics intern in Edison, NJ is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

What are the most commonly searched types of Data Analytics jobs in Edison, NJ?

The most popular types of Data Analytics jobs in Edison, NJ are:

What are popular job titles related to Data Analytics Intern jobs in Edison, NJ?

For Data Analytics Intern jobs in Edison, NJ, the most frequently searched job titles are:

What cities near Edison, NJ are hiring for Data Analytics Intern jobs?

Cities near Edison, NJ with the most Data Analytics Intern job openings:

Infographic showing various Data Analytics Intern job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $48,459 per year, or $23.3 per hour.

Data & Process Automation Intern - Duty Drawback

Marmon Holdings, Inc.

Newark, NJ • On-site

Part-time

Posted 2 days ago

New


Marmon Holdings rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

Graver Technologies LLC
As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.
Under close supervision, generates ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts. Integrates data from multiple sources to produce requested or required data elements. Assists more senior Data Informatics analysts to program and maintain report forms and formats, information dashboards, data generators, canned reports and other end-user information portals or resources. Learning role with 1 to 2 years of experience.
Duty Drawback Data & Process Automation Intern
Position Summary
The Duty Drawback Data & Process Automation Intern will support the collection, validation, and organization of import and export data required for duty drawback claims. This role will initially focus on manually gathering and reconciling data from multiple systems, vendors, and internal stakeholders to establish accurate reporting processes. As the intern gains a thorough understanding of the current workflow, they will identify opportunities to streamline and automate data collection, reporting, and validation activities.
This internship provides hands-on experience in global trade compliance, customs duty recovery, data analytics, process improvement, and business automation. This is a temporary role and is expected to last 3 - 6 months.
Key Responsibilities
Data Collection & Validation
  • Collect and consolidate import and export transaction data from internal systems, suppliers, freight providers, and customs documentation.
  • Review and validate data for accuracy, completeness, and compliance with duty drawback requirements.
  • Reconcile shipment records, customs entries, invoices, and related documentation.
  • Maintain organized records and supporting documentation for drawback claim preparation.
  • Identify and resolve data discrepancies through collaboration with stakeholders.

Process Analysis & Documentation
  • Document current-state data collection and reporting processes.
  • Develop process maps and standard operating procedures (SOPs).
  • Analyze workflow bottlenecks, manual touchpoints, and data quality issues.
  • Recommend process improvements to increase efficiency and accuracy.

Automation & Reporting
  • Assist in developing automated solutions for data extraction, cleansing, validation, and reporting.
  • Create dashboards, reports, and tracking tools to monitor drawback-related activities.
  • Utilize tools such as Python, SQL, Power BI, Microsoft Excel or any other technology/tool to automate and streamline data processing.
  • Test and validate automated workflows to ensure data integrity and reliability.
  • Support implementation and user adoption of new automation solutions.

Cross-Functional Collaboration
  • Partner with Logistics, Operations / Quality Control, Supply Chain, Finance, IT, and Vendors to obtain required information.
  • Participate in meetings to gather business requirements and provide project updates.
  • Present findings, process improvements, and automation recommendations to stakeholders.

Qualifications
Required
  • Currently pursuing a Bachelor's degree in Supply Chain Management, Information Systems, Data Science, Engineering, or a related field.
  • Strong analytical and problem-solving skills.
  • Required: Python, SQL, ETL/Data Processing, APIs & File Integration, Git/GitHub, Microsoft Excel
  • Excellent organizational skills and attention to detail.
  • Strong written and verbal communication skills.

Preferred
  • Preferred: AI/LLM & NLP Basics, Pandas + Polars, Document Intelligence Tools
  • Familiarity with supply chain, logistics, customs compliance, or international trade concepts.
  • Experience working with large datasets and performing data validation.

Desired Competencies
  • Process improvement mindset with a focus on automation opportunities.
  • Ability to manage multiple projects and priorities.
  • Curiosity and willingness to learn business processes in depth.
  • Strong collaboration and stakeholder management skills.
  • Ability to translate business requirements into practical technical solutions.

Expected Outcomes
By the conclusion of the internship, the intern will:
  • Establish a reliable process for collecting and validating duty drawback data.
  • Create documented procedures for ongoing data management.
  • Identify and implement automation opportunities that reduce manual effort.
  • Deliver reporting tools and process enhancements that improve accuracy, efficiency, and scalability of duty drawback operations.

Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.
We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.

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