Global Logistics Industrial Engineer (f/m/x)

3M; Wrocław; On-site; PLN 180,000 - 250,000; Full time

Job summary

3M in Wroclaw is seeking a Global Logistics Industrial Engineer to drive analytics across broker management, customs filing, and operational visibility. You will shape standardized processes, implement data-driven insights, and collaborate with cross-functional teams and external brokers to improve cost, service, and governance.

The role emphasizes AI-enabled analytics, control tower integration, and the development of dashboards and reporting to enable executive-level decision making.

Qualifications

• Bachelor's degree completed and verified prior to start.
• Minimum 5 years of combined experience in logistics, trade compliance operations, or related fields.

Responsibilities

• Lead analytics and continuous improvement initiatives focused on broker management and customs filing performance.
• Develop broker performance management frameworks including scorecards, KPIs, dashboards, and governance processes.
• Partner with IT and data teams to integrate broker, customs, and transportation data into control tower platforms.

Skills

Analytics

Data analytics

Process improvement

Cross-functional collaboration

Statistical analysis

Education

Bachelor's degree in Industrial Engineering / related field

Tools

Excel

Power BI

SQL

Python

Alteryx

Tableau

Job description

Job Description

As a Global Logistics Industrial Engineer , you will work at the intersection of global logistics, trade compliance, data, AI-enabled analytics, and continuous improvement. You will help improve how 3M manages customs broker performance, filing accuracy, operational visibility, and productivity across the global network.

You will partner with cross-functional teams and external brokers to standardize processes, integrate data into control tower platforms, automate performance insights, and deliver measurable improvements in cost, service, productivity, and governance.

Here, you will make an impact by:

• Leading analytics and continuous improvement initiatives focused on broker management, customs filing performance, productivity improvement, and operational risk visibility.
• Supporting the design, validation, and implementation of standardized customs filing and broker management processes to improve consistency, accuracy, productivity, and governance.
• Developing broker performance management frameworks, including scorecards, KPIs, dashboards, service-level monitoring, exception management routines, and business review processes.
• Supporting broker contract standardization and optimization by improving spend transparency, defining service-level expectations, tracking productivity metrics, and strengthening performance governance.
• Partnering with IT, data teams, trade compliance, logistics, transportation operations, and external brokers to integrate broker, customs, transportation, and operational data into control tower and enterprise visibility platforms.
• Building automated reporting, dashboards, and business intelligence solutions using tools such as Power BI, Alteryx, SQL, Excel, Tableau, Python, or related technologies.
• Analyzing customs filing workflows, broker performance, cycle times, cost drivers, service issues, and exception trends to identify root causes and recommend practical improvements.
• Applying industrial engineering, operations research, statistical analysis, process modeling, automation, AI, and continuous improvement methods to identify productivity and standardization opportunities.
• Translating complex operational, logistics, and compliance-related data into clear insights and actionable recommendations for business leaders and cross-functional stakeholders.
• Tracking value realization, communicating progress to leadership, and supporting implementation plans to ensure productivity, cost, service, governance, and compliance targets are achieved.

Your Skills and Expertise

To set you up for success in this role from day one, 3M is looking for candidates who meet the following minimum requirements:

• Bachelor's degree or higher in Industrial Engineering, Supply Chain, Logistics, Operations Research, Data Science, Engineering, Business, International Trade, Operations, or a related field, completed and verified prior to start.
• Minimum 5 years of combined experience in logistics, trade compliance operations, customs brokerage, supply chain, industrial engineering, data analytics, process improvement, business operations, or related fields.
• Hands-on proficiency with data analysis, automation, modeling, and visualization tools such as Excel, Power BI, SQL, Python, Alteryx, Tableau, or related technologies.
• Experience applying AI-enabled tools, including Microsoft Copilot or similar AI-driven productivity solutions, within logistics or supply chain environments is preferred.
• Experience working with operational data, performance reporting, dashboards, process improvement, or productivity initiatives.

Additional qualifications that could help you succeed even further in this role include:

• Master's degree in Industrial Engineering, Operations Research, Supply Chain, Logistics, Data Science, Business Administration, International Trade, or a related field.
• Relevant certifications such as Lean Six Sigma, PMP, APICS, CSCP, CLTD, analytics, customs brokerage, or supply chain certification.
• Experience in customs brokerage operations, import/export processes, broker management, customs filing performance, or trade compliance operations.
• Strong knowledge of broker performance management, including contract governance, supplier scorecards, productivity tracking, service-level monitoring, and continuous improvement routines.
• Experience designing or supporting control tower capabilities, including performance visibility, exception management, broker connectivity, and operational data integration.
• Demonstrated ability to analyze complex processes, identify root causes, develop practical solutions, and implement improvements across multiple stakeholders.
• Experience applying operations research, statistical analysis, workflow optimization, or predictive analytics to improve operational performance.
• Strong communication and influencing skills, with the ability to translate technical data, process insights, and operational risks into clear executive-level recom