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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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Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
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Compensation
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Management
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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
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0 reports
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Stock
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Bonus
$10,833
$75,831
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10 interviews
Difficulty
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/ 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
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Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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