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职位Amazon

Import & Export Ops Specialist, Seller Operations

Amazon

Import & Export Ops Specialist, Seller Operations

Amazon

Chengdu, 51, CHN

·

On-site

·

Full-time

·

5d ago

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. To serve the goal, Amazon has created one of the most advanced fulfillment and logistic networks in the world.
Amazon Global Logistics in China is a team of highly experienced logistics professionals, product & program manager and carrier specialists actively participating in Amazon's international expansion goals. We are seeking some highly motivated individuals who are interested in providing best-in-class logistics service to customers.

Key job responsibilities
1. Handling assigned daily tasks according to process map and SOP, manage and handle exceptions in daily work. Use knowledge and skills to meet assigned goals and SLA.
2. Collaborating with origin and destination teams to solve issues/requests to secure selling partners' experience.
3. Handling problems with minimal visible risks or roadblocks, troubleshooting problem with no existing procedure or SOP with LSPs; evaluating compliance risks and escalates roadblocks.
4. Working on standardization and Kaizen among internal function partners to improve operation efficiency and service quality.
5. Act as the team process expert to co-work with stakeholders on process improvement and UAT Test for new features.
6. Taking additional duties assigned by leadership as business related services and operation scope continue to expand.
7. Support new initiatives and new program to drive operational excellence in terms of speed and cost, service quality.

Basic Qualifications

    1. Bachelor Degree or Equivalent Experience 2. 5+ years working experiences of industry (Logistics/freight forwarding/Supply Chain industry/Broker/Customs agent) 3. Proficient written and oral communication skills in both English and Chinese 4. Proficient in Microsoft Office products (Excel and Word) and Solid data analysis skills 5. Strong sense of responsibility and ownership to meet deadlines, maintain a strong attention to details, and work as a team member 6. Capability of operation standardization and process improvement 7. Good communication skill and co-work with cross teams experience 8. Demonstrate excellent time-management skills and the ability to work independently while using departmental resources, policies and procedures. 9. Manage multiple tasks and have sense of urgency to prioritize tasks 10.

Strong mindset of Customer Obsession:

Preferred Qualifications

    1. Ability to work in a fast-paced environment and handle multiple priorities 2. Strong attention to detail and accuracy 3. Experience managing customer relationships 4. Project management experience

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

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