At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. 

Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Iron Mountain is seeking a motivated Summer 2026 Intern, CEX Customer Experience & Retention Analytics to join our Customer Excellence (CEX) team.

In this role, you will be responsible for analyzing raw data to identify customer churn patterns and developing predictive models to help transform our customer retention processes.

What You’ll Do

In this role, you will:

Analyze and Model Customer Behavior: You will work with large, raw datasets to identify trends and build predictive models that help the business understand which customers are likely to leave, providing actionable insights for the retention team.

Collaborate on Data Storytelling: You will partner with cross-functional stakeholders to translate complex technical findings into compelling stories and presentations that drive strategic planning and continuous improvement.

Ensure Data Integrity and Governance: You will perform exploratory data analysis to ensure high data quality and contribute to the development of best practices for data management within the shared services organization.

What You’ll Bring

The ideal candidate will have:

Current enrollment in a degree program focused on Data Science, Statistics, Mathematics, or Computer Science.

Strong technical knowledge of programming languages such as Python or R, and proficiency in SQL for data extraction.

Proven ability in data visualization using tools like Tableau, Power BI, or Looker to communicate complex insights.

Analytical mindset with the ability to work independently and collaboratively in a fast-paced, remote team environment.

What We Offer

Salary details: $26.00 per hour.

Shifts: May 27, 2026 - August 7, 2026

Location: Remote.