Logistics Analyst - Finance

As a global leader in digital infrastructure, QTS designs, builds and operates advanced data centers that support strategic AI, cloud and digital transformation initiatives. We are driven by a mission to connect the world for good and our people make it possible. Every single day, the creativity, dedication and genuine care for our communities are what push us forward and make this a truly special place to be. 

*only candidates local/within commute to Clarksville TN will be considered*

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.

• →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.