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Process Improvement Manager

vor 2 Monaten


Berlin, Berlin, Deutschland Amazon EU SARL (Germany Branch) - D70 Vollzeit
About the Role

As a Process Improvement Manager at Amazon EU SARL (Germany Branch) - D70, you will play a critical role in enhancing the customer experience by optimizing our transportation processes. You will be responsible for driving large-scale programs and products that deliver a positive impact on our customers.

Key Responsibilities
  • Review daily process defect data, identify root causes, develop and align action plans, and evaluate their impact in collaboration with site Operations.
  • Provide proactive feedback to operations management on quality-related issues and collaborate with central teams on projects and system enhancements.
  • Gain expertise in key Middle Mile Network (MMN) process paths and exception handling and ensure process discipline across all shifts and departments through training and audits.
  • Perform daily process audits in Sortation centers to ensure adherence to Performance Metrics and Standard Operating Procedures (SOPs), highlighting non-adherence and engaging Amazon Customer Experience (ACES) for necessary changes.
  • Conduct regular reviews (daily, weekly, and monthly) of quality metrics with site leadership, including concessions, damages, DEA, returns, and scan compliance and customer feedback.
  • Establish effective communication channels for sharing quality-related updates and best practices within assigned sites/region.
Requirements
  • Transportation or Supply Chain experience (previous Operations experience preferred) within a high-volume logistics, manufacturing, or engineering environment, as well as Project Management experience.
  • Bachelor's Degree from an accredited university or equivalent qualification.
  • Proficiency in the local language and English, verbally and written.
  • Experience using data and metrics to test theories, confirm assumptions, generate ideas, execute, and measure success.
  • Advanced knowledge of Excel and demonstrated experience querying relational databases using SQL (or other query language), along with experience using large complex data sets to design models and scenarios.
Preferred Qualifications
  • Demonstrated experience with Lean and Six Sigma methodologies or similar techniques.
  • Degree in a science or logistics-based discipline.
  • Previous Inventory Control and Quality Assurance Management experience, performance metrics, process improvement, and Lean techniques.
  • Strong analytical abilities, including proficiency in Python or any programming language with strong data analysis skills.