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Transportation Representative, Executive Customer Relations

Amazon

Transportation Representative, Executive Customer Relations

Amazon

Virtual, TS, IND

·

On-site

·

Full-time

·

5d ago

Executive Customer Relations (ECR) team manages IN trans related escalations for rescue, root causing and medium/long term systemic changes. The team manages multiple programs such as INOPS VPI, ECR email escalations and customer rescue programs.
The team liaises with stakeholders across the IN Network to develop proactive rescue mechanisms, solutions and systemic fixes around the opportunities identified through root cause analysis to improve customer experience.

Key job responsibilities
Respond to inquiries from leaders, in addition to resolving contacts (received through escalation channels).
Communicate effectively and professionally with CS and non-CS departments.
Work on a detailed root cause analysis.
Recognize systemic and quality concerns contributing to poor customer experiences and communicate to appropriate stakeholders.

A day in the life
You will address customer issues by rescuing the customer but also by identifying and measuring root cause of the customer's experience failure and presenting your findings and recommendations to right stakeholders who can fix process or technology that caused customer defect.

Basic Qualifications

  • Experience working with customers with a passion for delivering exceptional service, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Experience in English-language communication skills, both written and verbal
  • 1+ years of customer service experience, or Bachelor's degree in management, business administration, economics, engineering, marketing
  • Work flexible shifts including nights, weekends, or holidays in a 24/7/365 environment
  • Can work proactively and independently, meet deadlines, and deliver on projects and tasks
  • Experience handling administrative details independently, while exercising good judgment in keeping team members adequately informed
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in managing and troubleshooting network and experience working with customers with a passion for delivering exceptional service

Preferred Qualifications

  • Experience handling confidential information and maintaining professionalism in dealing with senior executives, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround
  • Knowledge of Microsoft Office Suite (Excel, Word, Share Point, and PowerPoint)
  • Prior experience in Customer Service

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

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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