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Amazon

Operations Supervisor, HST1

Amazon is hiring an Operations Supervisor, HST1. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions operations management, team leadership and data analysis among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Supervise daily warehouse operations, manage workflows, and drive safety and productivity improvements.

operations-managementteam-leadershipdata-analysisprocess-improvement
Operations is the heart and soul of everything Amazon does. It is thanks to effective operations that items are processed and dispatched to our customers on time. Being an Operations Lead/Supervisor gives you the chance to see how all the different parts of operations work and play a role in making sure everything runs smoothly.

You’ll be the first point of contact for team members during their shift and help them follow the processes that your managers have put in place. This is a hands-on role, which will give you experience in using the tools and systems that make our operations successful.

Key job responsibilities
Measure and monitor workflows, track onsite performance, and provide important shift information to frontline management to ensure operational excellence across shifts
Support and train employees to deliver great service and supervise them in their daily tasks
Support the Shift/Area Managers with projects to improve processes, cultivate a safe working environment, and increase workforce engagement
Work with other departments to find solutions to address common issues or support needs in areas of key performance
Use data analysis to identify ways to optimise safety, quality and productivity

A day in the life
As an Operations Lead/Supervisor, you’ll be based in one of our operational sites. You’ll support your Shift/Area Manager to carry out the plan for the shift. That will involve helping with pre-shift meetings with your team and monitoring procedures to make sure everyone is following safety rules, quality processes, and the priority plan for the day.

You’ll escalate any issues you spot to your manager, but sometimes you’ll be the most senior person on shift and will give people the direction they need to complete their tasks. At other times, you’ll support your Shift/Area Manager in planning shifts to make sure you have enough team members working during peak times.

About the team
Amazon Extra Large (AMXL) looks after heavy items like furniture and large home appliances. Our team manages the entire service, from supply chain fulfilment to delivery and returns. What sets this service apart from others is the extra level of customer care. Not only do we deliver large items, but we unpack, assemble and install them, and take away old items where needed. With a focus on safety, productivity and innovation, we’re changing the way customers buy and receive large goods for the better.

We have ambitious plans to expand our specialist fulfilment centres and delivery stations across the UK and Europe. While those of us who work in delivery stations will do some night shifts, most of us work during the day. Our team is made up of people across operations, supply chain, business intelligence and programme management, and everyone plays a crucial role in growing this part of the business.

Basic qualifications

- Experience working with the MS Office suite (Word, Excel, Outlook) in a professional environment
- Advanced proficiency in English in both written and verbal communication (C1 Common European Framework of Reference, CEFR)
- Relevant experience working with data analytics and using these metrics to identify problems

Preferred qualifications

- Experience of stakeholder management including building and maintaining professional relationships
- Experience in an operational environment, such as logistics, retail, hospitality, or customer service

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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

Operations Supervisor, HST1 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Operations ManagementTeam LeadershipData AnalysisProcess Improvement

Questions you could be asked

  1. Tell me about a project where operations management was part of your work. What did you do?
  2. Tell me about a project where team leadership was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. 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: Operations Management, Team Leadership, Data Analysis, 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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