Data Specialist (Contract)

Iron Mountain

1d•Remote

About The Position

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 contract Data Specialist to join our Shared Services team. In this role, you will be responsible for developing and applying advanced analytical techniques to solve complex business problems. You will join a dynamic team within the Customer Excellence organization, focused on leveraging data across Billing, Collections, and Care functions to drive continuous improvement and operational efficiency.

Requirements

Experience in Data Science or Analytics: Proven experience in developing and deploying machine learning models while working with large datasets and data warehousing environments.
Technical Proficiency: Advanced skills in Structured Query Language (SQL) for data extraction and programming languages such as Python or R.
Data Visualization Expertise: Strong knowledge of industry-standard visualization tools such as Tableau, Power BI, or Looker to communicate complex insights.
Relevant Educational Background: A degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Responsibilities

Design and deploy advanced analytical models: Develop statistical and machine learning models for predictive analytics, forecasting, and optimization to provide actionable insights for decision-making.
Collaborate with cross-functional stakeholders: Partner with teams across the organization to translate complex business needs into data-driven solutions and communicate findings through compelling visualizations.
Ensure data integrity and process excellence: Implement data quality validation procedures and identify opportunities to optimize organizational processes through rigorous data analysis.