招聘
必备技能
Excel
We’re seeking for experienced Operation Area Manager's to join the team at our Robotics Fulfillment Center (FC) in Kemps Creek.
As an Operations Area Manager, you'll be directly responsible for leading and developing a team of Section Managers and their direct reports in one of the following areas within the Fulfillment Center Operations: receive, stow, pick, pack or ship, 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.
Please note the shift pattern is set based on 4 days on and 3 days off, working at least one weekend day. (Sunday to Wednesday or Wednesday to Saturday)
Key Job Responsibilities:
- Leading and developing a team of Operations Section Managers and their direct reports,
- Maintaining Health and Safety standards within your remit area, while promoting an inspiring Health and Safety culture on-site,
- Developing performance goals and objectives to achieve customer promise expectations and ensure accuracy and quality,
- Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives,
- Partnering with the management team to establish and maintain quality control standards,
- Review the work forecasts and determine your requirements to produce during the day to meet the overall building objectives.
Basic Qualifications
- Working experience in Operations, Supply Chain/Logistics, or a related field,
- Direct management experience for employees and their performance,
- Experience as a manager, involving sizable teams; you’re a natural at motivating others around you and building strong relationships,
- Demonstrate ability in problem-solving and analytical capabilities: conducting and driving Dive Deep analysis on complex processes,
- Excellent communication skills, both verbal and written.
Preferred Qualifications
- Experience with performance metrics and process improvement,
- Experience in Microsoft Office applications including but not limited to MS Word, Excel, Power Point and Outlook,
- Bachelor’s Degree from an accredited university or equivalent qualification.
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
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企 业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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