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 story 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 Marketing Data Analyst to join our Global Marketing team. In this role, you will be responsible for owning the end-to-end data lifecycle, from engineering BigQuery foundations to delivering predictive insights that drive global marketing strategy. You will join a high-impact team of hybrid talents who act as the "engine" of our marketing intelligence, turning disparate data into a unified "single pane of glass" for the entire organization.
What You’ll Do (Core Responsibilities)
In this role, you will:
- Architect and Optimize Data Infrastructure: Design and maintain a scalable Google BigQuery environment that integrates the Marketing Technology (MarTech) stack and multiple Salesforce instances to provide a unified data warehouse.
- Deliver Advanced Predictive Analytics: Develop and deploy sophisticated data models, including Multi-Touch Attribution and Propensity Models, to forecast performance and optimize global marketing spend.
- Consult as a Strategic Insights Partner: Collaborate with Field Marketing and Global Campaign teams to translate complex data into executive-level narratives and establish measurement best practices.
What You’ll Bring (Skills & Qualifications)
The ideal candidate will have:
Several years of experience in quantitative roles such as Data Analytics, Data Engineering, or Data Science, preferably within a Business-to-Business (B2B) marketing funnel.
Strong knowledge of modern data stacks, including expert-level Structured Query Language (SQL) with hands-on experience in BigQuery, as well as Python or R for statistical modeling and working with data pipelines in Google Cloud Platform (GCP).
Experience with digital analytics, particularly Google Analytics 4 (GA4), including analyzing event-based tracking data and integrating GA4 data with BigQuery or other data warehouse environments.
Proven ability to deliver full-stack reporting and scalable data products, with advanced proficiency in dash-boarding and visualization tools such as Tableau and Looker Studio, supported by a Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics, or Engineering).
What We Offer (Benefits)
- Competitive compensation and benefits aligned with experience.
- Flexible work options to support work–life balance.
- Opportunities for continuous learning and professional growth.
- Generous paid time off and holidays.
Ready to architect the future of marketing intelligence? **Apply today** to join Iron Mountain and help us elevate the power of work worldwide.
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Category: MarketingTop Skills
What We Do
Iron Mountain Incorporated (NYSE: IRM) is the global leader for storage and information management services. Trusted by more than 220,000 organizations around the world, Iron Mountain boasts a real estate network of more than 80 million square feet across more than 1,350 facilities in 45 countries dedicated to protecting and preserving what matters most for its customers. Iron Mountain’s solutions portfolio includes records management, data management, document management, data centers, art storage and logistics, and secure shredding help organizations to lower storage costs, comply with regulations, recover from disaster, and better use their information. Founded in 1951, Iron Mountain stores and protects billions of information assets, including critical business documents, electronic information, medical data and cultural and historical artifacts.
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