招聘
Our vision is to be earth's most customer-centric company and earth's best employer. If you want to be part of an exciting business that aims to build a marketplace where customers can find and discover anything they might want to buy online, with a passion for delivering a great customer and seller experience, then this role is for you!
We are looking for high caliber and tested Specialist to support 3P business operations, to deliver initiatives and projects with strategic significance. Our ideal candidate is a problem solver, has investigative and critical thinking mindset, attentive to details, result-oriented, and capable of succeeding in a fast-paced environment, within minimal supervision.
This role requires excellent judgement to plan in order to accomplish goals and identify root causes that adversely impact seller experience, with the aim of driving timely resolutions with key partner teams. Ensure compliance with procedures and SLAs while achieving quality and performance metrics. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the team.
- Key job responsibilities
- Investigating escalated tickets received from Selling Partner Support (SPS) and track ticket resolution within defined SLAs.
- Conducting deep dives into Seller Contacts to identify seller intent/root-causes.
- Identifying top reason codes/labels driving seller contacts and work with product, program, partner teams to address gaps/eliminate defects
- Presenting insights to key stakeholders to implement improvement initiatives such as Selling Partner training, internal SOPs, updates to Seller facing help content. With the primary objective of resolving escalations, eliminating seller contacts and driving Root Cause Elimination initiatives.
- Work with product/program/partner teams to resolve escalated contact resolution of a supervisory or sensitive nature.
Basic Qualifications
- Speak, write, and read fluently in English
- 1+ years of Microsoft Office products and applications experience, or Bachelor's degree within last 12 months in Information Technology, Computer Science, Engineering or related fields
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience in root cause analysis and troubleshooting or problem solving
Preferred Qualifications
- Experience with data analysis and basic Excel skills
-
- Experience in technical writing, Skills in process mapping and workflow documentation
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
PublicAmazon.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
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