Level

Amazon

Early Talent Area/Shift Manager Barcelona

AI in this role

Lead a large and diverse team to drive productivity, maintain safety standards, and optimize warehouse shift operations.

excelms-office
team-managementoperationslogisticssafety-compliance
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 make sure quality and productivity are at consistently high levels, and business objectives are met across all shifts
- Support and lead a team and handle administrative work alongside building and supporting 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

A 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 make sure we stay on track 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 local language
- Relevant experience in performing data analysis

Preferred qualifications

- Currently enrolled in or recently graduated with a Bachelor’s or Master’s degree in Supply Chain, Business/Management, Engineering or another related field.
- Experience of communicating with a wide range of stakeholders, including your peers and leadership
- Experience in a logistical working environment
- Experience working with the MS Office suite (Word, Excel, Outlook) in a professional environment

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we score this

Early Talent Area/Shift Manager Barcelona at Amazon scores 0 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

Team ManagementOperationsLogisticsSafety ComplianceExcelMs Office

Questions you could be asked

  1. Tell me about a project where team management was part of your work. What did you do?
  2. Tell me about a project where operations was part of your work. What did you do?
  3. Tell me about a project where logistics was part of your work. What did you do?
  4. Tell me about a project where safety compliance was part of your work. What did you do?
  5. Walk me through how you've used Excel in your day-to-day work.

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  • List these exact terms on your resume: Team Management, Operations, Logistics, Safety Compliance, and Excel. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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