Early Talent - Area/Shift Manager Oviedo

Amazon is hiring an Early Talent - Area/Shift Manager Oviedo. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions data analysis, operations management and team leadership among its tools and skills.
Level classes it as a junior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Manage shift operations, drive productivity, and lead a diverse team to ensure high quality and safety standards at Amazon.

data-analysisoperations-managementteam-leadershipprocess-improvement

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

- Preferred qualifications are not required to apply for a position at Amazon. If you have all the basic qualifications above, we’d love to hear from you.
- 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 rate this

Early Talent - Area/Shift Manager Oviedo at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Early Talent - Area/Shift Manager Oviedo is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in ES, O, Siero.
The job was posted on August 31, 2026.
Seniority: junior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisOperations ManagementTeam LeadershipProcess Improvement

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where operations management was part of your work. What did you do?
Tell me about a project where team leadership was part of your work. What did you do?
Tell me about a project where process improvement was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Analysis, Operations Management, Team Leadership, and Process Improvement. 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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