Finance & Analytics Intern (Summer 2026)

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.

Location: Boston, MA, Tampa, FL, or Dallas, TX (Hybrid/In-Person)

Program Dates: May – August 2026

• Execute data-driven financial analysis to support departmental forecasting, budgeting, and performance measurement cycles.

• Develop and maintain data pipelines and scripts using Python to automate the extraction, transformation, and loading (ETL) of large financial datasets.

• Design and build dynamic dashboards in Tableau to visualize key financial metrics, enabling real-time monitoring and strategic decision support.

• Conduct in-depth variance analysis (actual vs. budget/forecast) and clearly articulate the drivers of business performance to finance and business leaders.

• Model the financial impact of strategic initiatives, investments, and operational changes across different business units.

• Collaborate with IT and Data Science teams to ensure data integrity and access for all critical financial reporting and analysis projects.

• Currently enrolled in an accredited university pursuing a Bachelor’s or Master's degree in Finance, Data Science, Economics, Business Analytics, or a related quantitative field.

• Must be a Rising Sophomore, Rising Junior, or Rising Senior (Graduating 2026, 2027, or 2028) at the start of the internship.

• Demonstrated proficiency and hands-on experience with Python for data analysis (e.g., Pandas, NumPy) is essential.

• Required experience in creating robust visualizations and interactive dashboards using Tableau or a similar Business Intelligence platform.

• Proven strong analytical and quantitative problem-solving skills applied to complex financial scenarios.

• Excellent communication skills with the ability to translate complex technical findings into clear financial narratives for a non-technical audience.