Iron Mountain is looking for interns to support their financial analysis, data pipeline development, and dashboard visualization needs to improve departmental forecasting, budgeting, and performance measurement.
Requirements
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.
Responsibilities
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.
Other
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 Senior at the start of the internship.
Excellent communication skills with the ability to translate complex technical findings into clear financial narratives for a non-technical audience.
Program Dates: May – August 2026
Location: Boston, MA, Tampa, FL, or Dallas, TX (Hybrid/In-Person)
