Research Analyst (Level 3), Operations
Research Analyst (Level 3), Operations
Posted on :
27-08-2025
Employer Active
1 Vacancy
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Job Description
Job summary
At Amazon we strive to be Earths most customer-centric company where people can find and discover anything they want to buy online. We hire the worlds brightest minds offering them an environment in which they can relentlessly improve the experience for customers. Innovation and creativity are built into the DNA of the company and are encouraged at all levels of employment. Every day we solve complex technical and business problems with ingenuity and simplicity. Were making history and the good news is weve only just begun
Key job responsibilities
Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments.
A day in the life
Job Deliverables:
Daily/ weekly/ monthly Research activities: Data mining and understand the reasons for Quality Defects
Prepare and publish daily/ weekly/ monthly reports on inventory quality ( IRDR/ Large adjustments/ Unmatched X Top25 reports/ HRV adjustments etc)
Bin Management and control ( creation/ addition/ deletion/ bin locks)
Conduct daily training and also will be responsible to conduct daily skill huddles
Quality Feedback to associates
Stand-in for Process Associate and the Area Manager
- Bachelors degree
- Speak write and read fluently in English
- Experience with Microsoft Office products and applications
- 1 years of manufacturing or customer-facing environment 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
At Amazon we strive to be Earths most customer-centric company where people can find and discover anything they want to buy online. We hire the worlds brightest minds offering them an environment in which they can relentlessly improve the experience for customers. Innovation and creativity are built into the DNA of the company and are encouraged at all levels of employment. Every day we solve complex technical and business problems with ingenuity and simplicity. Were making history and the good news is weve only just begun
Key job responsibilities
Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments.
A day in the life
Job Deliverables:
Daily/ weekly/ monthly Research activities: Data mining and understand the reasons for Quality Defects
Prepare and publish daily/ weekly/ monthly reports on inventory quality ( IRDR/ Large adjustments/ Unmatched X Top25 reports/ HRV adjustments etc)
Bin Management and control ( creation/ addition/ deletion/ bin locks)
Conduct daily training and also will be responsible to conduct daily skill huddles
Quality Feedback to associates
Stand-in for Process Associate and the Area Manager
- Bachelors degree
- Speak write and read fluently in English
- Experience with Microsoft Office products and applications
- 1 years of manufacturing or customer-facing environment 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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