Description At Amazon, we are working to be the most customer-centric company on earth, where customers can find and discover anything they might want to buy online. The goal of Amazon Logistics (AMZL) is to build a world class last mile operation, exceeding the expectations of our customers by ensuring that their orders are delivered as quickly, accurately, and cost effectively as possible. We are now looking to hire a passionate, dynamic, analytical, innovative, hands-on and customer-obsessed candidate to support network growth. The Network Capacity Optimization (NCO) Specialist works to optimize network performance, supporting NCO Managers in finding the best trade-off between capacity, speed and cost. You will play a key role in the development/execution of the tools, models and processes around i) management of short/mid/long-term capacity for AMZL delivery station, ii) monitor and foster standardized DSs Ops Clock and shift patterns, iii) find the best operating model leveraging trade-off between cost, speed and capacity. You will also coordinate the execution of weekly capacity update and quarterly changes for ops clock / shift patterns / operating models. Keeping an open mind, sense of humor, drive and ambition will help you remain innovative in our culture. This will be an exciting opportunity for you to possess a high level of autonomy, drive real operational improvements while managing a variety of job responsibilities. Key job responsibilities • Business analysis, eventually leveraging AMZL databases, to dive deep Operating Models (Speed vs cost) design, DILO changes and Capacity impacts • Monitor DS Capacities in short/mid/long-term horizon, providing reporting to Sr leadership about deviations and making sure that the right data can be consumed both in the 13-weeks horizon (S&OP, CO) and in Peak/3-years horizon (Launch & Expansion, Process Engineering) • Data collection and validation to support critical and EU-wide AMZL decisions for Peak and Off-Peak planning, like Operating Model and CIT planning • Conduct audits and generate reports around Capacity deviations, issues and future impacts, while autonomously providing action plans to be shared with Network Planning management • Align with Central & Field team and adjust Capacity attributes to meet Capacity commitments • Coordinate weekly and monthly capacity changes, obtaining requests “bottom-up” from DS Ops, while aligning with a wide range of stakeholders in EU AMZL Central Functions to find the optimal shift structure, Ops Clock, Customer Experience at the lowest cost • Help to solve logistics and supply chain challenges through data analysis, innovation and process optimization • Take proactive steps to ensure that best practices are being shared, standardized across all the sites. Basic Qualifications - Relevant experience in an analytical tasks or projects, working with data - Advanced proficiency in verbal and written English (C1 in the Common European Framework of Reference, CEFR) - Relevant experience working with the MS Office suite (Word, Excel, Outlook) Preferred Qualifications - Relevant experience in communicating with senior stakeholders and leadership - Previous experience within transportation or logistics - Working experience on programming and coding languages (SQL or Python). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy\_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.