This is a high-ownership role. You will be expected to take full accountability for your network scope, proactively surface risks, and collaborate across multiple teams to solve problems.
Key job responsibilities
- Own weekly and quarterly capacity planning for an assigned segment of the EU fulfillment network (e.g., a region, node type, or product category)
- Monitor and report on key capacity metrics: bin/template fullness, pallet utilization, inventory cube, NSTA (No-Stow-Turn-Away) rates, and Average Weight per Unit (AWU) trends
- Build and maintain statistical forecasts for cube utilization, volume, and capacity constraints at site and network level
- Identify capacity risks weeks in advance and propose mitigation actions to Operations and S&OP teams
- Support peak event planning (Prime, Black Friday, Cyber Monday, Christmas) — contributing to strategy documents, daily execution calls, and post-event reviews
- Develop and automate reporting tools and dashboards that feed into weekly business reviews and leadership updates
- Contribute to cross-functional programs such as cost-out initiatives, new FC launches, network re-measurement, and fulfillment strategy changes
- Present analysis and recommendations to senior stakeholders with clarity and confidence
About the team
etwork — spanning AR (Amazon Robotics), Traditional Non-Sort (TNS), Vendor Flex, and specialty nodes across EU5. We forecast cube and capacity requirements, monitor inventory fullness, plan for peak events, and drive cost-out initiatives across 100+ fulfillment centers. The team operates at the intersection of supply chain planning, data analytics, and cross-functional program execution, partnering daily with Operations, Finance, S&OP, PPT, ACES, SCOT and Placement.
Basic qualifications
- Bachelor's degree, or MBA in supply chain management, operations, engineering, analytics or related field- 2+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience communicating results to senior leadership, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
- Experience in English-language communication skills, both written and verbal
- 1+ years of using SQL to extract and manipulate data experience
- 1-3 years of experience in supply chain planning, capacity planning, cube/inventory management, or operations analytics
Preferred qualifications
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience in operations management for a fulfillment or distribution center
- Experience managing internal stakeholder relationships and working successfully across organizations and different cultures to deliver results requiring collaboration and coordination with multiple teams
- Knowledge of Lean Six Sigma concepts and best practices
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