Analyst, Swa Carrier Mix, Step Long Term Planning

**DESCRIPTION**: Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you. The team: STEP Long-term Planning - Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. - We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. - Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. - We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. Key job responsibilities You will be responsible for defining the overall carrier mix strategy across Europe for SWA. Navigating highly complex and strategic scope across end-to-end supply chain, including tradeoffs between shipper requirements, cost to serve, customer delivery speed, selection, growth and long-term profitability. This is a role for an exceptionally talented person, with high energy and courage, passionate about delivering concrete improvement for our customers, and that want to achieve that using data. The role includes 40% analytical activities and 60% of stakeholder/project management Main activities - Use and share your insights with partner teams, to influence/build a 3 year roadmap of project to optimize carrier volume allocation - Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (VP-level) Data Analytics/Science - Lead regular business review with partner teams to monitor the progress of projects in the roadmap. Help into removing bottlenecks - For the most complex and ambitious opportunities, quickly launch new pilots, and build scale-up business case with benefits, tradeoffs, bottlenecks, risks and resources required - Use data to control/audit if our supply chain is behaving as expected, and automate the identification of improvement opportunities among dozens of dimensions - run tools/models to automate decision making for complex and ambiguous trade-off problem - For the algorithmic opportunities, work with teams of software developers and research scientists to design the next round of software innovation - Deep dive complex data using SQL (>10TB) to uncover actionable insights for known and unknown problems About the team EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain. **BASIC QUALIFICATIONS**: - Master's or Bachelor's degree in Statistics, Data science or Economics, with significant experience in an analytical field - Significant experience in a project/program management role - Ability and strong willingness to use data and system thinking to answer first time asked questions, and solve large-scale ambiguous problems. - Ability to lead and structure projects, in particular liaising and collaborating with internal partners to influence direction and roadmaps, despite competing priorities - Basic SQL knowledge - English language is required **PREFERRED QUALIFICATIONS**: - Experience analyzing both experimental and observational data sets is a plus - Previous experience in Supply Chain or transportation roles is a plus - Experience working with Tech teams is a plus - Proficiency in SQL/Redshift is a plus