QTS Data Centers is continuing to build out its supply chain analytics capabilities to better support rapid growth and increasingly complex operations. The Supply Chain Analyst will be a key member of the Supply Chain & Logistics team, responsible for developing reports, dashboards, and data models that provide clear visibility into inventory, logistics execution, and operational performance.

We are seeking a Supply Chain Analyst to support data‑driven decision making by transforming supply chain data into actionable insights. Working closely with Supply Chain, Logistics, Operations, and leadership teams, this role will design, build, and maintain scalable reporting solutions using SQL and cloud‑based data platforms. This role will be pivotal in reducing manual reporting, improving data accuracy, and enabling faster, more informed decisions across the organization.

Being effective in this role requires a highly analytical and curious individual who thrives in a fast‑moving, evolving environment. Strong communication skills, attention to detail, and the ability to translate business needs into technical solutions are critical for success.

ESSENTIAL DUTIES AND RESPONSIBILITIES - Other duties may be assigned.

• Design, build, and maintain reports and dashboards to support Supply Chain and Logistics operations.

• Write, optimize, and maintain SQL queries to extract, transform, and analyze data from multiple source systems.

• Develop and maintain data models (fact and dimension tables) that support consistent and trusted reporting.

• Partner with Supply Chain, Logistics, and Operations stakeholders to gather requirements and translate business needs into reporting solutions.

• Validate data accuracy and troubleshoot discrepancies between source systems and reporting outputs.

• Automate and streamline recurring reports to reduce manual effort and improve reporting reliability.

• Establish and maintain business metrics and KPIs related to inventory, logistics execution, and operational performance.

• Document data definitions, reporting logic, and assumptions to ensure consistency and transparency.

• Support the continuous improvement of analytics processes, tools, and data governance practices.

BASIC QUALIFICATIONS