招聘
Amazon is looking for a highly motivated individual with responsibility for innovating and executing exciting new growth opportunities for our end-to-end global supply chains. As we grow, accurate planning and execution will be critical to serving our customers. Come join us as a Logistics Specialist.
In this role, the Logistics Specialist will have good analytical acumen to translate that vision into an executable plan. This person will work extensively across different Amazon teams to grow the overall data center operations.
Responsibilities:
- Handle the day-to-day logistics activities to support data center operation.
Key job responsibilities
Logistics Specialists receive parts, maintain inventory, transfer and return parts as needed for Technicians in multiple data centers. This role manages the storage, and ensures a safe and neat workplace . Duties include but not limited to:
-Receiving, stowing and picking, packaging and shipping, sorting and counting of computer hardware parts physically and logically.
-Working on part request from Technicians and reviewing inventory availability.
-Monitor Logistics dashboards and request for actions to ensure that the Infra Ops meet the KPI target.
-Balance the inventory within the cluster and region when needed
-Coordinate with procurement and vendor to schedule part delivery. Track and update shipment status and manage the delivery issues with transportation vendors
-Storage facility management and administration. Cycle count, daily audit, 7S etc.
-Complying with inventory process in part handling activities for instance parts quarantine, media parts, critical parts control.
-Participation in continuous improvement initiatives in addition to day-to-day inventory requests.
-Process RMA to vendors and scrap parts
- A day in the life
- Monitor the parts availability for break-fix ticket
- Manage shipment receiving and inventory management
- Facilitate internal customers to complete the maintenance activities.
- Participate the continuous improvement project
- Deploy global solution to meet the global standard
- Innovate the existing application to improve customer experiences.
Basic Qualifications
- Bachelor degrees in any discipline preferably in Logistics, Supply chain and Engineering
- 1-2 years experience in Logistics or Data Center industry
- Good English proficiency in writing and reading
- Experience in WMS or ERP
-
- Bachelor degrees in any discipline. Prefer Logistics, Supply chain and Engineering
-
- 1 to 2 year experience in Logistics industry or Data center
-
- Good English proficiency in writing and reading
-
- Experience in WMS or ERP
Preferred Qualifications
- Basic skill in AI tools, SQL and Dashboard creation
- Experience in managing IT hardware and Network equipment inventory
- Familiar with Electrical and Mechanical spare parts
- Basic skill in Ai tools, SQL and Dashboard creation
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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