WHAT YOU’LL DO:  

Apply your knowledge of statistics, business analytics and/or data science to support specific business initiatives involving analytics projects analyzing various aspects of a global mobility organization 

Interact directly with business stakeholders, while working with large, complex datasets to properly categorize business information and perform data profiling 

Work with data science tools and teams on real world operational issues, such as building predictive models to help identify and reduce debt, damage and risk associated with vehicle rental 

WE’RE LOOKING FOR SOMEONE THAT HAS: 

Active enrollment at a college/university, graduating May or June 2026 - Rising Seniors

Pursuing a degree in Data Analytics, Data Science, Mathematics, Business Analytics or a related field 

A detail-oriented mindset and way of working 

Solid business communication skills 

The ability to work in a fast-paced corporate environment 

Good working knowledge of business analytics, probability, statistics and/or data science 

The ability to reliably commute to our Parsippany, NJ corporate headquarters. This is a fulltime in office internship.

The ability to work full time, in person for 35 hours a week 

SKILLS YOU SHOULD BRING TO THE TABLE: 

Completed coursework in Business Analytics, Probability and Statistics, Data Science, Data Engineering or related fields 

Data Analysis experience using any mix of software including, but not limited to: Microsoft Excel, SQL, Python 

Interest in exploring the various aspects of data analytics or data science and learning other coding languages as needed 

Strong interpersonal, organization, and time management skills 

Ability to multi-task and work independently in a fast-paced environment  

Contribute positively to the organization, both individually and as part of a team 

Ability to communicate clearly and concisely, both verbally and in writing 

Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) 

Bonus points for experience/skills with:  SQL, Python, Tableau, R, Typescript, Jira, Miro 

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