Graduate Area/Shift Manager
Pubblicato il 01-08-2026 - Amazon in Piemonte
When you join Amazon as an Area/Shift Manager, you’ll gain experience leading a large and diverse team to make sure your area of the business keeps pace with demand. In this hands‑on role, you’ll learn about the complexity of operations at a global business and what it takes to make everything run seamlessly. While you implement your team’s approach to drive productivity, you’ll also work closely with your colleagues to address challenges, which means no two days will be the same.
Key Job Responsibilities
- Promote a culture of safety and wellbeing.
- Analyse and implement corrective actions to ensure quality and productivity remain consistently high and business objectives are met across all shifts.
- Support and lead a team while handling administrative work and building a strong team culture.
- Analyse performance and suggest process improvements to optimise work and improve customer service.
- Collaborate with other managers to standardise shift processes.
Day in the Life
You’ll work shifts and be based at one of our operational sites.
Your main focus will be to maintain safety standards within your team and across your site. You’ll also monitor and maintain process efficiency. Your days will always include prioritising routine team management and daily operational tasks, alongside other tasks like individual escalations, process improvement work and wide‑scale operational contingency planning.
Being a key part of the operations team involves working with colleagues in other teams and external partners to meet our customer demands and targets. This will involve analysing data and performance metrics with leaders in your business area, as well as discussing the operational pros and cons of technical improvements with engineers.
Basic Qualifications
- Completed university degree before the start date or graduated within the last 24 months.
- Advanced proficiency in written and verbal English and the local language.
- Relevant experience in performing data anal