• A degree
• Advanced data-related skills including Excel, Python, SQL.
• Relevant experience in using data or anecdotal evidence to influence business decisions.
• Relevant experience of communicating with a wide range of stakeholders, including your peers and leadership
• Valid Full UK Driving License.
• Advanced proficiency in document writing.

We are seeking a Process Improvement Manager to streamline and elevate our processes and drive program improvement and optimization within the Amazon Shared Mobility Partner business in Germany. The Manager will be strong with data, automation tools and SQL/Python to automate our processes and increase our efficiency to enable us to deliver bigger results.

The Amazon Shared Mobility Partner program is a new model to enable Amazon to support speed initiatives and on demand capacity in the European Union. This entails partnering with multi-use fleet operators with employed drivers working for other delivery / mobility platforms to solve day of variability and support the EU Same Day (SD) Go Big plan. This program is powered by a mobile app that works in concert with our advanced logistics systems that allows SMPs to on-board, schedule delivery times, guide them through their deliveries with in-app mapping and navigation, and more. The approach and technology are disruptive and promise to challenge traditional approaches, changing the way the industry operates.

The successful candidate will be self-motivated, passionate, analytical and detail-oriented, possess superior interpersonal and communication skills, and be comfortable working independently to drive growth and change in a fast-paced environment. An extreme bias for action and being with data is an absolute must, and candidates must demonstrate a track record of delivering results.

Key job responsibilities
Find opportunities to automate and optimize existing Last Mile processes. This includes, but not limited to, our scheduling, labor planning, routing capacity management and forecasting.

Identify new opportunities to experiment and pilot new programs, create new tools and reporting to drive business results. This will be done through leveraging your skills with data, building of tools through Excel, Python, SQL, and more and driving long-term automation with tech teams to scale initiatives WW.

Partner with WW Flex/ Last Mile teams to understand common challenges to adopt standard practice and identify opportunities to collaborate with tech teams to build automated tooling and solutions to hand off our processes.

A day in the life
As a Process Improvement Manager, you’ll be at the forefront of making Amazon’s logistics better – which means improving safety, productivity, and quality.

You will partner with the Amazon Logistics DE team to deploy program, process and station improvements. The successful candidate will also manage 3P partner suppliers by optimizing scheduling and routing and enhancing driver capacity in order to hit cost, safety, quality targets for the program. Another part of the role will be recommending changes and using your project management and stakeholder management skills to put new processes in place.

The successful candidate will be based in Munich, DE. The candidate will be expected to visit Delivery Stations across Germany. If needed, you will carry out analysis at other local or national sites. On top of dealing with productivity and safety, you’ll have the opportunity to share best practices and ideas with our EU network.

About the team

• Degree in business, supply chain, transportation, economics or a technical field.
• Experience manipulating and presenting data with Excel.
• Experience in Lean, Six Sigma and Kaizen techniques
• Experience with supporting tools (e.g., Minitab, JMP, MS Access).

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.

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