Process Improvement Specialist Intern - 2027

NOTE: This role is based at our DTM2 Fulfillment Center in Dortmund, Germany. Please note this is a warehouse/logistics environment. The site is within Dortmund city and accessible by public transport.

There’s a universe of opportunity at Amazon.

At Amazon, your career doesn’t follow a straight line. It accelerates, twists, and challenges you in ways you never expected. From the moment you join, you’re part of something big: building products or services that reach millions and shaping how people live, work, and connect every day. This is where your ideas turn into real impact.

You’ll work with world class tools, global platforms, and systems built to operate at an extraordinary scale. You’ll move fast, experiment and launch solutions that matter. With endless opportunities to explore across teams and roles, you’ll learn quickly, apply what you know and discover skills you didn’t know existed. This is an environment

designed for builders who want to see the impact of their work in the world. Ready to start your adventure?

What’s in it for you?

An internship at Amazon means real responsibility from day one. You’ll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

Key job responsibilities

• Plan and implement continuous improvement initiatives designed to innovate the driver experience and make our processes more efficient
• Use AI tools and data analytics to identify process inefficiencies, automate repetitive tasks, and prototype solutions
• Analyse feedback and use data to own and implement process improvements at the site
• Work with station management and other stakeholders to identify and solve process-related issues
• Audit processes for compliance and work to close any gaps by supporting business decisions with analytics A day in the life As a Process Improvement Specialist, you will be at the forefront of making Amazon better - which means improving safety, productivity, and quality. Part of your role will involve running observations and audits to identify where processes could be enhanced. You will also use AI-powered tools to analyse data, generate insights, and accelerate the development of solutions - from automating reports to modelling the impact of process changes before implementation. You will be based at one of our locations and accountable for positively influencing operational efficiency. If needed, you will carry out analysis at other local or national sites. On top of dealing with productivity and safety, you will have the opportunity to share best practices and ideas with our EU network. In this role, you will use data and AI to drive improvements and continue to grow our shipping capabilities.

Basic qualifications

- Speak, write, and read fluently in English at C1 level or above

- Currently in your penultimate or final year and working towards a university degree in business, supply chain, transportation, economics or similar field

- Analytical skills with advanced level in Microsoft Excel (e.g., formulas, pivot tables, macros)

- Relevant fluency of communicating with a wide range of stakeholders, including your peers and leadership

- Eligible to complete a full-time internship lasting between 3 to 6 months.

Preferred qualifications

- Relevant understanding in using AI or digital tools to support analysis, automation, or problem-solving

- Understanding of Lean, Six Sigma, and Kaizen techniques

- Understanding of scripting tool such as Python or SQL would be advantageous

- Proficiency with supporting tools (e.g., Minitab, JMP, MS Excel, and 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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