Logistics Analyst

About the Company

At QTS Data Centers, we stand at the forefront of today’s dynamic digital transformation. Our world-class data centers empower customers’ strategic growth initiatives, positioning us as a global leader in digital infrastructure. As AI and cloud technologies drive demand for increased speed, capacity, and innovation, QTS has emerged as a leader in connecting the globe for good. We design, build, and operate advanced data centers worldwide, integrating sustainability and renewable energy solutions to minimize environmental impact. Backed by Blackstone, QTS is uniquely positioned to achieve ambitious growth and innovation goals.

Our team members are the cornerstone of our culture, innovation, and growth. Together, we shape the future of digital infrastructure and invite you to join us.

Benefits

• Roth and Traditional 401(k) matching contributions with immediate vesting
• Bonus or commission eligibility for every employee
• Generous PTO, Paid Volunteer Days, and Floating Holidays
• 11 paid holidays annually; holiday compensation when worked
• Stock Purchase Plan (SPP)
• Pet and Legal Insurance
• Q-Rest Sabbatical Program
• Q-Anniversary Service Award Program
• Parental Leave for primary and secondary caregivers
• Military Benefits Package
• QTS Charitable Matching Gift Program
• QTS Scholarship for Employee Dependents
• QTS Crisis Fund
• Wellness Program
• Tuition Reimbursement Program
• Medical, dental, vision, life, and disability insurance
• Flexible spending and HSA accounts
• Employee assistance program

Responsibilities

• Develop, maintain, and enhance data tools to collect, analyze, and visualize logistics data from ERP systems.
• Utilize forecasting models and analytical techniques to predict logistics needs and improve business practices.
• Identify and implement process improvement opportunities in supply chain operations.
• Analyze trends, KPIs, and operational performance data to provide actionable insights to stakeholders.
• Build and maintain custom reports and dashboards to track supply chain metrics and support strategic planning.
• Collaborate with cross-functional teams, including procurement, operations, and finance, to ensure logistics data integrity and alignment with business goals.
• Assist the Manager of Operations Systems and Analytics in refining data models and methodologies to enhance decision-making.
• Support the implementation of new technologies and automation tools to streamline logistics operations.
• Conduct data quality audits to ensure accuracy, consistency, and reliability in logistics reporting.
• Provide analytical support for ad-hoc projects and operational initiatives as needed.

Requirements

• Bachelor’s degree in Logistics, Supply Chain Management, Data Science, Business Analytics, or a related field, or equivalent work experience.
• 2+ years of experience in logistics, supply chain management, operations, or data analytics.
• Proficiency in ERP systems (e.g., SAP, Oracle, NetSuite, or similar).
• Strong data analysis skills, with experience using tools such as Excel, SQL, or equivalent software.
• Experience with forecasting models and demand planning methodologies in logistics or supply chain operations.
• Ability to interpret complex datasets and translate insights into business recommendations.
• Strong problem-solving and critical-thinking skills to identify inefficiencies and propose data-driven solutions.
• Excellent written and verbal communication skills, with the ability to present insights clearly to management and stakeholders.
• Ability to manage multiple priorities in a fast-paced, high-growth environment.

Preferred Qualifications

• Experience working with data visualization and BI tools such as Power BI, Tableau, or Looker.
• Familiarity with Python or R for advanced analytics and automation.
• Experience with process automation tools (e.g., RPA, Power Automate) to improve operational efficiencies.
• Knowledge of supply chain optimization strategies and industry best practices.

Skills

• Strong organizational skills, with the ability to manage multiple projects and meet deadlines.
• Ability to work both independently and collaboratively within a team environment.
• Strong attention to detail with a commitment to maintaining data accuracy and integrity.
• Proactive and solution-oriented mindset, with a passion for process improvement.
• Ability to adapt to changing priorities and evolving business needs in a dynamic environment.
• Comfortable collaborating with stakeholders at all levels, including senior leadership.