招聘
必备技能
Excel
Amazon Logistics is seeking an Operations Supervisor to collaborate with the Operations Shift Manager and Delivery Station Manager in driving innovation and ensuring effective execution within transportation networks. This role requires a proactive leader capable of inspiring a team to achieve performance goals and productivity standards that align with company objectives. The ideal candidate will also be responsible for monitoring team attendance and workflow, working closely with the Operations Shift Manager and Delivery Station Manager to identify and resolve any issues that may arise.
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Please not the shift pattern for this role is Sunday
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Wednesday 07.00 - 17.00
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Key job responsibilities
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Contribute to fostering a strong health and safety culture by ensuring adherence to relevant laws and internal policies.
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Assist in the daily oversight and management of departmental tasks.
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Conduct staff debriefs, ensuring all paperwork is accurately and thoroughly completed.
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Perform duties in line with Standard Operating Procedures (SOPs).
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Allocate tasks to staff as needed to maintain workflow and meet daily performance targets.
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Ensure adequate staffing levels for your area, including managing call outs for training, addressing absences, overseeing performance, providing coaching, and continually monitoring department productivity.
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Support the onboarding and training of new associates to ensure they possess the necessary knowledge to perform required tasks.
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Collaborate with the Operations Shift Manager and Delivery Station Manager in tracking, analyzing, and reporting Exchange Point metrics.
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Support the Operations Shift Manager and Delivery Station Manager in identifying and understanding factors contributing to the achievement or shortfall of Exchange Point objectives.
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Monitor and report on associate hours and schedules.
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Address and resolve process-related issues within the area as needed.
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Ensure timely and accurate reporting of equipment defects.
Basic Qualifications
- Experience in warehouse operations
- Experience in logistics
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Can lift up to 20kg, stand/walk during shifts lasting up to 10 hours, and be able to frequently push, pull, squat, bend, and reach.
Preferred Qualifications
- Experience managing teams
- Experience with planning, performance metrics, and process improvement
- Experience in Microsoft Office suite specifically Excel and outlook
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
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
薪资范围
4个数据点
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
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
面试经验
6次面试
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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