Senior Industrial Engineer — DC Process & Labor

Family Dollar

Duncan (OK)

On-site

USD 94,000 - 101,000

Full time

11 days ago

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Job summary

Family Dollar in Duncan, OK is seeking a Senior Industrial Engineer to join our national supply chain network. You will lead labor standards, LMS, and process improvements to boost efficiency and reduce costs across DC operations.

The role requires hands-on industrial/ systems engineering experience, strong data analysis skills (Tableau, Power BI, Excel, MS Access), and willingness to travel up to 75%. Relocation within the U.S. is encouraged.

Qualifications

  • BS Degree in Engineering.
  • Minimum of three years of industrial/ process engineering experience; 5 years preferred.
  • Experience in fast-paced logistics, distribution or fulfillment.
  • Lean Six Sigma Green or Black Belt preferred.

Responsibilities

  • Standardize and document best-in-class operating procedures across the logistics network.
  • Implement and drive adoption of new innovations across multiple facilities.
  • Develop, implement, and maintain labor standards, LMS, and analytics and reporting.
  • Identify and implement process improvements to increase customer value and decrease costs.
  • Analyze performance data and conduct observations to address root causes of gaps.
  • Collaborate with Operations, Safety, Quality, Loss Prevention, Transportation, IT, and Finance.
  • Support DC expansions, startups, and network optimization projects.
  • Create and maintain reports and dashboards to track performance and opportunities.

Skills

Data analysis
Communication
Cross-functional collaboration
Tableau
Power BI
Excel

Education

BS Degree in Engineering

Tools

LMS
WMS
MS Access

Job description

Family Dollar in Duncan, OK is seeking a Senior Industrial Engineer to join our national supply chain network. You will lead labor standards, LMS, and process improvements to boost efficiency and reduce costs across DC operations.

The role requires hands-on industrial/ systems engineering experience, strong data analysis skills (Tableau, Power BI, Excel, MS Access), and willingness to travel up to 75%. Relocation within the U.S. is encouraged.

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