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Sr. Logistics Engineer

Job in Draper, Salt Lake County, Utah, 84020, USA
Listing for: Swire Coca-Cola, USA
Full Time position
Listed on 2025-12-15
Job specializations:
  • Engineering
    Manufacturing Engineer, Systems Engineer
Job Description & How to Apply Below

Swire Coca-Cola is a family‑owned bottling company with a history spanning over two centuries. We are one of the largest bottlers of Coca‑Cola in North America and distribute more than 50 beverage brands to over 30 million consumers across 13 states, supported by 8,000+ employees who work hard as part of a dedicated team.

Why you’ll love working at Swire Coca‑Cola
  • Health coverage (3 medical options, dental and vision)
  • 401(k) retirement plan with company match
  • Health savings accounts with company match
  • FREE virtual primary care, acute care and physical therapy
  • FREE employee assistance program
  • Company‑paid vacation, holidays, sick time, bereavement, jury duty, maternity/parental, disability leave and volunteer time
  • Discounted & free products
  • Tuition reimbursement
  • Opportunities for career advancement

Enrollment in a Swire Medical Plan is required for some benefits.

Job Details

Job Level: Senior Logistics Engineer

The Senior Logistics Engineer leads and supports large‑scale process improvement and capacity initiatives within the logistics organization. This role provides advanced analytical support for cost, productivity and operational efficiency improvement projects across warehousing, transportation and distribution networks. The Senior Engineer applies strong analytical, project management and communication skills to identify, develop and implement solutions that optimize throughput, labor efficiency and service performance.

Must be a self‑starter, detail‑oriented, able to manage multiple projects, possess excellent communication and analytical skills, work well with a team and interact with multiple levels and functions within the logistics organization.

Responsibilities
  • Lead and conduct detailed time studies, labor analysis, network modeling, flow path analysis, supply chain analysis and statistical analysis to drive data‑based decisions across logistics operations.
  • Lead and support cross‑functional strategic projects focused on process improvement, automation and cost reduction, including partnership with Operations, Supply Chain and Technology.
  • Develop reports, run ad hoc queries and identify and develop standard operating procedures to streamline operating processes.
  • Develop and maintain advanced business tools, reports and dashboards in partnership with Technology using data visualization and analytics platforms to track performance metrics; review and recommend system/software enhancements as needed.
  • Provide facility layout, capacity and slotting analysis; support capital investment decisions and ROI modeling for new technologies or infrastructure.
  • Recommend and implement process standards and engineering best practices across logistics facilities.
  • Track and report on metrics and key performance indicators for assigned business units.
  • Leverage best practices and engineering standards when designing, developing and deploying solutions.
  • Mentor Associate Logistics Engineers and other team members on technical analyses and project execution.
  • Perform other duties as assigned.
Requirements
  • Master’s degree in Mathematics/Statistics, Logistics, Mechatronics, Industrial or Manufacturing Engineering preferred.
  • Bachelor’s degree in Mathematics/Statistics, Logistics, Mechatronics, Industrial or Manufacturing Engineering required.
  • Level 1 AutoCAD certification from an approved institution preferred.
  • Lean Six Sigma Black Belt preferred.
  • FAA Part 107 preferred.
  • 4+ years of demonstrated technical logistics or manufacturing environment experience with a master’s degree required, or 8+ years with a bachelor’s degree required.
  • Basic principles of supply chain management, inventory control and logistics operations.
  • Fundamentals of warehouse operations, material handling systems and storage methods.
  • Lean, Six Sigma or other continuous improvement methodologies (introductory level).
  • Data analysis concepts and basic statistics for process improvement and software tools (e.g., Minitab, JMP).
  • ERP/WMS/TMS software familiarity (e.g., SAP, Oracle, Manhattan, Blue Yonder).
  • Productivity tools – MS Office (Word, Excel, PowerPoint), Teams.
  • Basic data visualization tools (Power BI, Tableau).
  • CAD or layout software (AutoCAD, Visio) for workflow and…
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