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Process Improvement Specialist Intern

Pubblicato il 03-10-2026 - Amazon in Piemonte

Process Improvement Specialist Intern - 2027

NOTE: This role is based at our MXP6 Fulfillment Center in Agognate (Novara), Italy. Please note this is a warehouse/logistics environment. Due to the location’s limited public transport links, candidates with a valid driving licence and access to their own transport are strongly encouraged to apply.

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 lif

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