Data Analyst

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.

THE OPPORTUNITY:

Title: Data Analyst

Permanent role

Location:  100% remote in Romania but flexible to travel to IRM offices from Cluj or Bucharest

Your role in our mission:
The Data Analyst provides critical data-driven support for all DOC teams, leveraging analytical expertise to transform raw data into actionable information and insights that drive strategic business decisions.
This role is essential for understanding current and future state requirements, developing frameworks for performance management, and measuring the impact of key initiatives.

The Data Analyst will be responsible for compiling, analyzing, interpreting, and displaying data for various purposes while also playing a key role in cross-functional coordination and ad hoc reporting for various DOC functions.

What you will do:

Data Analysis & Reporting:
● Extract, clean, validate, and integrate data from diverse sources, ensuring data accuracy, integrity, and compliance with data governance policies.
● Develop automated reporting workflows and dashboards that provide real-time, self-service access to key metrics for stakeholders.
● Leverage advanced analytical techniques (e.g., statistical analysis, trend analysis, forecasting) to uncover insights and support predictive decision-making.
● Translate complex data findings into clear, concise visualizations and narratives tailored for business partners and executives.
● Conduct root cause analyses on performance variances and recommend actionable solutions.
● Build financial models and perform ROI analyses to evaluate strategic initiatives and business cases.
Business Requirement & Performance Management:
● Lead collaborative requirement-gathering sessions with stakeholders, translating business needs into technical specifications.
● Design and maintain performance measurement frameworks aligned with organizational goals and industry benchmarks.

● Document business processes and analytics methodologies to support consistency and scalability.
● Identify opportunities to optimize workflows through automation or process redesign, using data as the foundation.
● Monitor Key Performance Indicators (KPIs) to evaluate how changes impact operational efficiency, employee engagement, and customer satisfaction
● Partner with cross-functional teams, including DOC Support, Bids and Proposals, DOC Capabilities, IT, Sales, and Finance, to ensure alignment and timely execution of analytics projects.
Stakeholder Engagement & Continuous Improvement:
● Serve as a trusted advisor to DOC teams by proactively identifying data-driven opportunities for growth and operational improvements.
● Facilitate training and knowledge sharing to elevate data literacy across the DOC and wider organization.
● Stay current on industry trends, emerging analytics technologies, and best practices, driving innovation within the team.
● Advocate for ethical data usage and compliance with relevant data privacy regulations (e.g., GDPR, CCPA).

What you will bring:

Language Proficiency: Mandatory fluency in English; preferred fluency in other international languages, with superior proficiency in both written and oral communication.
Education/Experience: Bachelor’s degree in Data Analytics, Computer Science, Business Analytics,Business or related discipline

2-3 years of experience in data analysis, preferably in a corporate or global
operational environment.
Analytical & Critical Thinking: Expertise in interpreting complex data sets, spotting trends, and developing data-driven solutions.
Data Governance: Knowledge of data quality standards, security protocols, and regulatory compliance.<