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职位Amazon

Instock Manager, Books VF - Vendor EIS VAR

Amazon

Instock Manager, Books VF - Vendor EIS VAR

Amazon

Heredia, H, CRI

·

On-site

·

Full-time

·

1mo ago

必备技能

SQL

Excel

Tableau

The Amazon Books Operations Team is looking for a bright, enthusiastic, and analytical candidate with a ability to solve problems and simplify processes.

The Inventory Specialist position offers a dynamic introduction to our online retail business and a training ground for future success focused on operations and supply chain management. The Inventory Specialist supports the team that works directly with strategic vendors to help improve their success at Amazon by building and nurturing an operational partnership. The Inventory Specialist will help to create an engaging experience for our vendor partners by driving issue resolution in a timely manner. The Inventory Specialist candidate will have the opportunity to identify improvements in our vendors’ supply chains, invent solutions for improvement and pro-actively identify potential issues before they surface.

Our environment is fast-paced and requires someone who is flexible, detail-oriented, and has follow-through. This position offers an exciting introduction to a top tier global company, supply chain management and e-commerce, serving as a broad training ground for future success.
Responsibilities

The Inventory Specialist role will be responsible for the following:

  • Root causing and resolving operational exceptions such as out of stock products, missing site offers, supply chain disruptions, etc.
    • Handle the day-to-day volumes of the assigned tasks and ensure the given SLAs (Service Level Agreement) are met per quality standards.
    • Developing and updating reporting focused on key operational performance indicators.
    • Work Schedule would be 8am to 5pm CST (Mon-Fri).

Basic Qualifications

  • 2+ years of experience in supply chain, inventory management, planning, procurement, or related operations.
  • Experience working with external suppliers or vendors.
  • Experience in data analysis using Excel, including Pivot Tables.
  • Understanding of key instock metrics (e.g., instock rate, lost sales, weeks of cover).

Preferred Qualifications

  • Experience in data analysis, with the ability to interpret and draw insights from data to inform decision-making processes
  • Experience managing competing priorities and using metrics to drive business decisions
  • Experience in supply chain management, inventory planning, or demand forecasting, with a strong understanding of key instock metrics such as instock rate, lost sales, and weeks of cover.
  • Experience using tools such as SQL, tableau, or similar analytics tools.

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