Sr. Analyst - Long-term planning, EU Long Term Planning

at  Amazon EU SARL

• 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
• Candidates must be able to think and operate at all levels (both strategically and tactically)
• A Bachelors Degree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
• Knowledge of SQL is mandatory
  Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of investments, systems & processes are running behind the scenes to power the whole operation? If so, this role is for you.

The team: Global transportation services, Fulfillment acceleration

• Operations is at the heart of the Amazon customer experience. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe and by rethinking our advanced end-to-end supply chain to make deliveries faster and more carbon-efficient.
• The particularity of our team is to have a very transversal impact across the end-to-end supply chains (vs. other role operating more in silos), and by being frequently exposed to senior leadership due to owning answers to some of the key strategic questions.
• The team is a diverse mix of engineers, analysts, scientists, program managers and developers.

The role: Sr. Analyst, Long-term planning
You will be responsible for partnering with one key function of our supply chain (e.g.: inventory, network design, capacity management etc.), to optimize the packages delivery (cost, speed and carbon). 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 analytical activities and 60% of stakeholder/project management:

Data Analytics

• Create methods to process, and organize complex data using SQL
• Deep dive the data to uncover actionable insights for known and unknown problems
• Use data to control/audit if our supply chain is behaving as expected, and automate the identification of improvement opportunities among dozens of dimensions
• Build advanced tools/models to automate decision making for complex and ambiguous trade-off problem

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 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).
• 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

Please refer the Job description for details