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: Global transportation services, Speed and 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.

　　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.

　　Key job responsibilities

　　You will be responsible for defining the overall delivery speed differentiation strategy for Fulfilled-by-Amazon business across Europe (FBA, learn more: https://sell.amazon.com/fulfillment-by-amazon). Navigating strategic scope across end-to-end supply chain, including tradeoffs between cost to serve, customer delivery speed, selection, growth and long-term profitability.

　　This role will particularly suit someone with analytical abilities, stakeholder and project management skills.

　　The role includes 60% analytical activities and 40% of stakeholder/project management.

　　Innovation & Stakeholder/Project management:

　　Use and share your insights with partner teams, to influence/build a 3 year roadmap of project to accelerate speed of deliveries

　　For the ambitious opportunities, quickly launch new pilots, and build scale-up business case with benefits, tradeoffs, 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.

　　Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (VP-level).

　　Data Analytics/Science:

　　Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support speed differentiation strategy in Europe and North America

　　Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritize fixing system defects.

　　Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies.

　　Perform deep-dives and data analysis using SQL (>10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision

　　We are open to hiring candidates to work out of one of the following locations:

　　London, GBR

　　Basic Qualifications

　　Experience in scripting for automation (e.g. Python) and advanced SQL skills.

　　Experience managing, analyzing and communicating results to senior leadership

　　Experience in working in program/project management and desire to work in this domain

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience building measures and metrics, and developing reporting solutions

　　Experience with theory and practice of design of experiments and statistical analysis of results

　　Experience programming to extract, transform and clean large (multi-TB) data sets

　　Experience with theory and practice of information retrieval, data science, machine learning and data mining

　　Preferred Qualifications

　　Master's degree in statistics, data science, or an equivalent quantitative field

　　Experience working in marketplace-type business

　　Experience with operations/supply chain

　　Ability to use data and system thinking to collaborate with internal partners to influence direction and roadmap

　　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 an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).