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EF Operation Executive

Amazon

EF Operation Executive

Amazon

Gurgaon, HR, IND

·

On-site

·

Full-time

·

2w ago

Amazon Worldwide Operations is the underlying fulfillment and customer service engine that ensures Amazon creates the same consistent, world-class customer experience every time. We are looking for high-potential, flexible, innovative, and forward-thinking professionals to join our India Operations team. Are you ready to drive high-visibility, strategic, revenue-generating projects as well as leverage Lean methodologies to lead Operational process improvement initiatives? Are you equally comfortable digging into business requirements as you are drilling into architecture and design with development teams?

Join the Operations team as Seller Flex Operations Executive (SFOE). As SFOE you will be responsible for monitoring multiple seller flex sites from operations and compliance point of view. You will be working with multiple internal and external stakeholders to achieve timely launches and operations metrics. With customer obsession and a high sense of ownership, you will utilize your skills to identify patterns and any disruptions in it. You should be able to dive deep, scrutinize details and foresee data implications. You must be flexible to work weekends and/or overnight shifts regularly and to travel to seller nodes to launch, set up & monitor Flex operations.

Key job responsibilities
Join the Operations team as Seller Flex Operations Executive (SFOE). As SFOE you will be responsible for monitoring multiple seller flex sites from operations and compliance point of view. You will be working with multiple internal and external stakeholders to achieve timely launches and operations metrics. With customer obsession and a high sense of ownership, you will utilize your skills to identify patterns and any disruptions in it. You should be able to dive deep, scrutinize details and foresee data implications. You must be flexible to work weekends and/or overnight shifts regularly and to travel to seller nodes to launch, set up & monitor Flex operations.

A day in the life
As an OE you will be responsible for monitoring multiple seller flex sites from operations and compliance point of view. You will be working with multiple internal and external stakeholders to achieve timely launches and operations metrics. With customer obsession and a high sense of ownership, you will utilize your skills to identify patterns and any disruptions in it. You should be able to dive deep, scrutinize details and foresee data implications. You must be flexible to work weekends and/or overnight shifts regularly and to travel to seller nodes to launch, set up & monitor Flex operations.
The role consists of high traveling to seller premises and candidate must be flexible for outstation travel.

Basic Qualifications

  • Bachelor's degree
  • Speak, write, and read fluently in English
  • Experience with Microsoft Office products and applications

Preferred Qualifications

  • MBA

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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About 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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge