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职位Amazon

Operations Specialist, IN Easy Ship

Amazon

Operations Specialist, IN Easy Ship

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

必备技能

SQL

Customer Service

Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused, hungry and passionate about e-commerce, experienced, and entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.

The ideal candidate will be enthusiastic about managing challenging, lengthy projects across multiple teams and locations. We are looking for an Operations Specialist who shares Amazon's passion for the customer—someone who understands the importance of compelling delivery programs in creating an overall customer (seller and buyer) experience.

In this role you will be responsible for working closely with sellers, seller support, customer service, sales, 3P carriers to identify delivery and fulfillment issues faced by sellers and work with them to alleviate their acute / short terms issues. You will also partner with product management teams as well to identify long term delivery and fulfillment features and programs to improve the seller and customer experience on the Amazon platform.

Key job responsibilities
Projects:

  • Develop analytical models to assess the problems, solutions and impact on business
  • Understand a business problem, the available data and identify what statistical techniques can be applied for the solution
  • Responsible for giving insights to management for strategic planning

Reporting:

  • Own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business
  • Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions and data infrastructure improvements to meet business
  • Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
  • Prepare and deliver business reviews to the senior management team regarding progress and roadblocks

Data Management:

  • Managing Data pipelines and warehouses.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Should be open to working on Saturday & Sunday, with any other 2 days of the week as off.

Basic Qualifications

  • 2+ years of data-driven business operations processes experience
  • Bachelor's degree

Preferred Qualifications

  • Knowledge of SQL

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

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

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