Analyst, Speed Planning, AMXL EU Network Speed

at  Amazon EU SARL

• A degree in business, supply chain, transportation, economics or a technical field
• Relevant experience working in a supply chain, transportation, project management or management consulting role
• Relevant experience in project management or management consulting including handling multiple ongoing projects
• Relevant experience using Microsoft Excel for data analysis
• Relevant experience of communicating with a wide range of stakeholders
  Clear and effective processes make sure every customer across the globe receives the speed, quality, and reliability they expect from Amazon. As a Speed Analyst, you’ll get involved in analysing the way we do things and working with colleagues across a number of teams to make our processes better. This role is an opportunity to help shape the future of Amazon, because even small changes can transform our business.

Key job responsibilities

• Analyse data and gather feedback from stakeholders to identify any inefficiencies in current operations
• Establish frameworks to ensure that the balance between quality, speed, cost and other factors are optimised
• Share ideas with colleagues and leadership on how processes can be improved
• Regular reviews of process efficiencies, offering data-led solutions for changes that will see long-term improvements

A day in the life
Every day, you’ll focus on our business objectives – from improving efficiency to increasing reliability – and find creative ways to make these happen. You’ll be part of a team driving major projects to standardise our processes and make improvements to our operations. That will involve being in regular contact with senior management and a wider group of stakeholders to define the project requirements and update them on status, risks, and impacts. You’ll also create communication plans to bring everyone up to speed with the new processes you implement.
As a Speed Planning Analyst, you’ll be the expert in charge of spotting the problems, seeing the gaps and inefficiencies, and creating solutions. Deep diving into data will help you find those challenges and keep track of the effectiveness of your improvements.
About the team
Amazon Extra Large (AMXL) looks after heavy items like furniture and large home appliances. Our team manages the entire service, from supply chain fulfilment to delivery and returns. What sets this service apart from others is the extra level of customer care. Not only do we deliver large items, but we unpack, assemble and install them, and take away old items where needed. With a focus on safety, productivity and innovation, we’re changing the way customers buy and receive large goods for the better.
We have ambitious plans to expand our specialist fulfilment centres and delivery stations across the UK and Europe. While those of us who work in delivery stations will do some night shifts, most of us work during the day. Our team is made up of people across operations, supply chain, business intelligence and programme management, and everyone plays a crucial role in growing this part of the business.

Preferred qualifications are not required to apply for a position at Amazon. If you have all the basic qualifications above, we’d love to hear from you.

• Experience in process improvement
• Experience in analytical tool building
• Understanding of SQL
• Experience with data visualisation tools such as Tableau, Power BI or QuickSight

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

• Analyse data and gather feedback from stakeholders to identify any inefficiencies in current operations
• Establish frameworks to ensure that the balance between quality, speed, cost and other factors are optimised
• Share ideas with colleagues and leadership on how processes can be improved
• Regular reviews of process efficiencies, offering data-led solutions for changes that will see long-term improvement