Logistics Data Analyst: Forecasting & Optimization

QTS Realty Trust; Clarksville (TN); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Flexible spending & HSA

Paid holidays

Paid time off

Volunteer days

Employee assistance program

Tuition assistance

Parental leave

Bonus eligible

Equity potential

Job summary

QTS Realty Trust is seeking a Logistics Analyst to develop data tools and analyze ERP data to forecast and optimize logistics. The role focuses on data-driven decision-making across procurement, operations, and finance to improve efficiency and reporting.

Ideal candidates have 2+ years in logistics/data analytics, strong ERP literacy (SAP/Oracle/NetSuite), and proven forecasting experience. This role supports data-driven optimization in a fast-growing supply chain.

Qualifications

• Bachelor's degree in Logistics, Supply Chain, Data Science, or related field.
• 2+ years in logistics, supply chain, operations, or data analytics.
• Proficiency with ERP systems (e.g., SAP, Oracle, NetSuite, or similar).
• Strong data analysis skills using Excel/SQL or equivalent software.
• Experience with forecasting and demand planning in logistics or supply chain.

Responsibilities

• Develop, maintain, and enhance data tools to collect, analyze, and visualize logistics data from ERP systems.
• Utilize forecasting models to predict logistics needs and improve practices.
• Identify and implement process improvements in supply chain operations.
• Analyze KPIs and performance data to provide actionable insights to stakeholders.
• Build and maintain dashboards to track supply chain metrics.

Skills

Data analysis

Forecasting

Communication

Problem solving

Multitasking

Team collaboration

Education

Bachelor's degree

Tools

SAP

Oracle

NetSuite

Excel

SQL

Job description

QTS Realty Trust is seeking a Logistics Analyst to develop data tools and analyze ERP data to forecast and optimize logistics. The role focuses on data-driven decision-making across procurement, operations, and finance to improve efficiency and reporting.

Ideal candidates have 2+ years in logistics/data analytics, strong ERP literacy (SAP/Oracle/NetSuite), and proven forecasting experience. This role supports data-driven optimization in a fast-growing supply chain.