Industrial Engineer II - Distribution Center Labor & Flow

Quality Bicycle Products GBC

  • Bloomington, MN
  • 1 day ago
  • Part-time
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Skills

  • Analysis Skillsunmatched
  • Business Solutionsunmatched
  • Change Managementunmatched
  • Communication Skillsunmatched
  • Continuous Improvementunmatched
  • Cross-Functionalunmatched
  • Data Analysisunmatched
  • Demand Forecasting/Planningunmatched
  • Distribution Operationsunmatched
  • Distribution Servicesunmatched
  • Financial Planningunmatched
  • Forecastingunmatched
  • Industrial Engineeringunmatched
  • Lean Six Sigmaunmatched
  • Logisticsunmatched
  • Operational Auditunmatched
  • Operational Strategyunmatched
  • Operational Supportunmatched
  • Operations Managementunmatched
  • Order Picking/Packingunmatched
  • Performance Metricsunmatched
  • Power BIunmatched
  • Problem Solving Skillsunmatched
  • Process Improvementunmatched
  • Productivity Managementunmatched
  • Productivity Modelunmatched
  • Reporting Dashboardsunmatched
  • Riskunmatched
  • Root Cause Analysisunmatched
  • SQL (Structured Query Language)unmatched
  • Safety Trainingunmatched
  • Shipping/Receivingunmatched
  • Simulationunmatched
  • Six Sigma Certificationunmatched
  • Supply Chain Managementunmatched
  • Supply Chain Operationsunmatched
  • System Operationsunmatched
  • Tableauunmatched
  • Trend Analysisunmatched
  • Warehousingunmatched
  • Workforce Managementunmatched

Description

Position Summary

Industrial Engineer II is responsible for improving labor productivity, workload balance, and end-to-end operational flow across the distribution center. This role applies engineering discipline, data analysis, and cross-functional partnership to align labor and process execution to business demand. The position is expected to identify constraints, improve throughput, and implement practical solutions that strengthen safety, service, cost, and systems performance across inbound, outbound, inventory, and support operations.

Key Responsibilities

Analyze volume, labor utilization, and productivity trends to identify imbalance, waste, and capacity constraints across functions and shifts.

Build and maintain workload balancing models that align labor deployment to forecast demand, service requirements, and operating priorities.

Assess staffing plans and recommend labor adjustments to address changing volume, priority shifts, and operational risk.

Identify bottlenecks across receiving, replenishment, picking, packing, shipping, and inventory flows, and drive actions that improve throughput and stability.

Partner with Operations leaders to optimize labor deployment, shift design, and resource strategy in support of execution needs.

Partner with WMS and business systems teams to develop dashboards, reporting, and KPIs that improve visibility to labor performance, throughput, utilization, and service attainment.

Lead continuous improvement work using Lean, Six Sigma, and structured problem-solving methods to deliver measurable and sustainable gains.

Support peak planning, capacity modeling, and labor forecasting to ensure the operation is positioned to execute through volume variability and growth.

Evaluate layout, slotting, and process design opportunities that improve workload balance, travel efficiency, and operational flow.

Ensure engineering recommendations align with safety requirements, quality expectations, and operational standards.

Qualifications

Required

Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Management, or a related field.

Two or more years of experience in engineering, operations analysis, or process improvement within distribution, manufacturing, or logistics environments.

Strong analytical capability, including experience with Excel, SQL, or visualization tools such as Power BI or Tableau.

Experience with labor planning, forecasting, workforce management, or related resource optimization practices.

Working knowledge of engineered labor standards, time studies, and productivity measurement methods.

Strong communication, problem-solving, and cross-functional partnership skills.

Preferred

Experience supporting high-volume distribution center operations.

Familiarity with Warehouse Management Systems and the operational disciplines they support.

Lean Six Sigma certification or equivalent process improvement training.

Experience with simulation modeling or advanced analytics tools.

Key Competencies

  • Labor optimization and workload balancing
  • Data-driven decision making
  • Continuous improvement execution
  • Cross-functional collaboration
  • Root cause analysis and structured problem solving
  • Change management
  • Process design and standardization

Success Measures

  • Improved labor productivity and utilization
  • Reduced overtime, delay, and non-value-added activity
  • More effective labor balance across functions and shifts
  • Higher throughput and stronger service execution
  • Sustainable process improvements that remain in place over time
  • Accurate labor planning and forecasting that improves execution readiness

Reporting Structure

  • Reports to: Engineering Manager or Operations Support Manager
  • Key partners: Operations Managers, Supervisors, HR, Finance, Planning, and IT

Quality Bicycle Products is proud to be a certified B-Corp and an Equal Opportunity Employer. We welcome talent from all backgrounds and encourage employees to bring their authentic selves to work. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy or related conditions), sexual orientation, gender identity or expression, age, disability, veteran status, genetic information, political affiliation, or any other protected characteristic.

 

Quality Bicycle Products approaches pay in an ethical and transparent way.  Pay ranges are assigned to a job based on market data from 3rd party salary benchmark data as well as balancing internal equity of other roles with similar levels of responsibility.  Individual pay within the range can vary for several reasons including, but not limited to, skills, abilities, experience, tenure, performance, and available budget.

Numbers & Facts

LocationBloomington, MN
Job TypePart-time

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