
Work hard. Have fun. Make history.
Operations Shift Manager, Delivery Station
必备技能
Team Leadership
Performance management
Safety management
Here at Amazon we are currently seeking for experienced Operations Shift Managers to join the business and play a critical role in leading our team of associates within our Delivery Station in Kewdale, WA
Do you have a passion for motivating, mentoring, and coaching a team? Do you pride yourself in maintaining the highest levels of safety, quality, attendance and performance? As an Operations Shift Manager, you will play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.
Key job responsibilities
- Key job responsibilities
- Leading and developing a team of Amazon associates
- Lead by example and with empathy
- Maintaining Health and Safety standards, while promoting a Health and Safety culture on-site.
- Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives.
- Proactively identifying and leading process improvement initiatives and Lean tools
- You'll need to push, pull, squat, bend, and reach varying weights.
A day in the life
A day in the life
You will be an inspiring leader within our Delivery Stations, where you will work to continuously improve the efficiency of delivery processes, ensuring that customer orders are delivered as quickly, accurately, and cost-effectively as possible. Along with your peers, you’ll ensure that all workflows run smoothly and that customer expectations are met, if not exceeded.
Basic qualifications
Basic Qualifications
- 1+ years of employee and performance management experience, or Bachelor's degree
- 2+ years of Amazon (blue badge/FTE) experience, or Bachelor's degree in management, business administration, economics, engineering, marketing
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Experience working independently with minimal supervision
-
- Can push and pull wheeled dollies loaded with products up to 100 pounds during shifts
Preferred Qualifications
- 2+ years of performance metrics, process improvement or lean techniques experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
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.
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关于Amazon

Amazon
PublicAmazon.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
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