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.
Key job responsibilities
You will be responsible for driving all aspects of the Same Day long-term planning roadmap, from building topology, Placement and inbound flows, Connectivity and Network Planning. The objective is find the setup that allows us to offer Same Day on subset of the selection at cost-parity with rest of Store in a 3Y horizon. 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% of stakeholder/project management and 60% analytical activities:
Innovation & Stakeholder/Project management:
• Leverage planning tools developed by Science teams to assess the optimal network topology and flows
• Use and share your insights with partner teams to influence strategic decisions (e.g. building location or layout)
• For the most complex and ambitious opportunities, quickly launch new pilots, and build scale-up business case with benefits, bottlenecks, risks and resources required
• For the algorithmic opportunities, work with teams of software developers and research scientists to design the next round of software innovation
• Lead regular business review with partner teams to monitor the progress of projects in the roadmap. Help into removing bottlenecks
• Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (VP-level).
Data Analytics/Science:
• Deep dive complex data to uncover actionable insights for known and unknown problems
• Good expertise with financials modelling (P&L, cashflow, mix/rate)
Candidates must be able to think and operate at all levels (both strategically and tactically).
About the team
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.
Fulfillment acceleration is one of those Global transportation analytical team.
We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster.
Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day.
• Bachelor’s degree or equivalent
• Experience in an analytical field
• Ability and strong willingness to use data 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
• Strong oral and written communication skills are crucial, in particular the ability to synthetize clearly complex issues
• An entrepreneurial mindset, with the tenacity to develop ideas independently and thrive in fast-paced environment
• Strong knowledge of SQL is mandatory
• Expert in SQL/Redshift is preferred
• Ability to progress autonomously in ambiguous environment
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.
m/w/d