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• We improve customer experience by continuously optimizing the complex movements of goods from vendors and sellers to customers throughout Europe.
• This role requires an individual with analytical abilities, as well as outstanding business acumen and comfort with technical teams and systems.
• The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.• We work with fulfillment centers, transportation, finance, and retail teams across the world, to assess impactful defects, define and implement short and long-term improvement plans.
• Defects Reduction connects with core operational organizations responsible for our fulfillment centers, internal and external transportation capabilities, customer returns, and finance teams.
• We obsess about our end-to-end supply chain to make it efficient, drive out defects for our customers, and continuously reduce waste from processes. Our overall mission is simple: we strive towards reaching zero defects across our end-to-end operations.Key job responsibilities
Data Analytics:
You will transform data into insights and improve complex processes across the entire supply chain, working with partner operations and data science teams to identify and eliminate defects.
Perform detailed data set investigations, quality checks, proactively identifying and fixing discrepancies, and establishing modular connectivity between data sets across the wide variety of operational data sources.
Perform deep-dives and data analysis using SQL (>10TB) to uncover insights for known and new defects.
Stakeholder/Project management:For complex and ambitious opportunities, design and launch pilots, build business cases, expose tradeoffs, show bottlenecks, highlight risks required to solve in order to maximize defect reduction impact.
Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (SVP/VP-level).A day in the life
- Experience managing, analyzing and communicating results to senior leadership
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
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