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Area / Shift Manager , Amazon Logistics

职能运营
级别Lead级
地点Dubai, ARE
方式现场办公
类型全职
发布2周前
立即申请

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
  • Experience in written and spoken English and an ability to compose grammatically correct, concise and accurate written responses
  • Experience in data analysis and reporting

Preferred Qualifications

  • Bachelor's degree, or a PhD and experience working for Amazon or any Amazon subsidiary or affiliate
  • Experience working with multiple groups of stakeholders
  • Experience managing a salaried, hourly and agency workforce in a logistics, fulfillment, last-mile manufacturing, engineering, production or distribution environment
  • Experience working with the MS Office suite (Word, Excel, Outlook) and/or SQL in a professional environment

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.

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Intern

L3

L4

L5

Junior/L3 · Warehouse

1份报告

$30,509

年薪总额

基本工资

$23,546

股票

-

奖金

-

$30,509

$30,509

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge