招聘
The Trainer & Quality Auditor is a high-impactful dual role that transforms performance through strategic training design and data-driven quality insights. You'll create engaging learning experiences while conducting audits that uncover critical improvement opportunities. By analyzing performance data and audit findings, you'll identify skill gaps, design targeted interventions, and measure real results — directly shaping operational excellence and team success.
Key job responsibilities
- Design and deliver instructor-led training programs for new hires and tenured employees, ensuring content aligns with accuracy, performance goals, and operational standards
- Conduct quality audits per cycle, evaluating interactions against defined standards and documenting findings with structured, actionable feedback
- Analyze audit data to identify performance gaps, root causes, and systemic issues — translating insights into targeted interventions such as refresher training, job aids, coaching guides, or process clarifications
- Track intervention effectiveness using key metrics — FCR, NRR, and initiated call rates — and prepare narrative-style performance reports that highlight trends, patterns, and the measurable impact of interventions on team performance
- Present findings and recommendations to stakeholders in a clear, concise format
- Participate in calibration sessions to ensure audit consistency and contribute to the development of quality frameworks and training standards
- Support the exploration of AI-assisted auditing tools to scale quality coverage across multiple languages
- Demonstrate agile support through cross-functional collaboration and quick response to emerging quality and training needs across teams
- Provide hands-on operational support during peak periods or critical business needs, including direct case processing when required
Basic Qualifications
- Completed a Bachelor's Degree
- Background in Accounts Receivable and/or Accounts Payable is required
- 2+ years of experience in communication programming and projects
- 3+ years of experience in a Training and Quality role
- Excellent written and verbal communication skills
- Demonstrated ability to plan, organize, and execute learning interventions and projects from concept to completion
- Proven track record in creating process improvement projects or interventions
- Proficient in MS Office
Preferred Qualifications
- Subject matter expertise in Finance and Accounting processes
- Excellent root cause analysis skills
- Familiarity with quality audit tools or learning management systems (LMS)
- Experience with financial systems (Oracle Financials, SAP, or other ERP
- tools)
- Experience working with multi-cultural, multi-national teams
- Excellent organizational and time-management skills
- Experience in AI products and solutions
- Exposure to AI-assisted quality or language analysis tools is a plus
- Flexible in schedule and work load
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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关于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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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