Logistics Analyst - Inventory

QTS Data Centers is expanding its supply chain capabilities to support rapid growth. We are seeking a dedicated and detail-oriented Logistics Analyst to join our team. This role will focus on developing and utilizing data tools to manage and analyze information from ERP systems, helping to forecast and improve logistics business practices. The ideal candidate will play a critical role in optimizing operational efficiency and ensuring data-driven decision-making within our logistics and supply chain functions.

ESSENTIAL DUTIES AND RESPONSIBILITIES - Other duties may be assigned.

• 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.

• Bachelor's degree in Logistics, Supply Chain Management, Data Science, Business Analytics, 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.

• 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.

• 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.