招聘

Senior Seller Consultant, NBS - ASE - Strategic Target Recruitment
Shenzhen, 44, CHN
·
On-site
·
Full-time
·
4w ago
必备技能
Python
SQL
Excel
Tableau
Amazon provides businesses of all types and sizes the opportunity to sell their goods on Amazon platform worldwide. With 300+ million active customer accounts, including 200 million+ Prime customers in Amazon marketplaces, Amazon is developing infrastructure actively to support this growth around the world, particularly in the booming cross border selling area.
Amazon is looking for Senior Seller Consultant to join our China team based in Shenzhen. You will have a unique opportunity to help strategic sellers in China to launch global business, reaching Amazon customers around the world, and providing rich selection and improving customer experience to drive Amazon Flywheel. In this role, you will also exercise your online business and category management expertise.
Your superior communication, organizational and technical skills will enable you to operate in a fast-moving and sometimes ambiguous environment, where you will have the autonomy to take full control and responsibility for achieving our business objectives. This role provides many opportunities to develop original ideas, approaches, and solutions in a competitive and fast-moving environment.
Key job responsibilities
Formulate strategic target recruitment plans by working backwards from category development and customers’ selection needs.
Help newly joined sellers quickly land and develop, guide sellers to drive feature adoption to improve customer experience on Amazon.
Review seller performance, provide recommendations on positioning, selection, pricing, sales and advertising operations.
Develop a deep understanding on assigned category, including but not limited to market trends, category insights, competition landscape, and overall ecosystem.
Assist leadership and cross-functional team on overall strategy, providing seller voices to continue improve seller experience and customer experience.
Demonstrate strong competency in delivering result, bias for actions, dive deep, ownership, earn trust and customer obsession.
Basic Qualifications
- Bachelor's degree or equivalent, or 5+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience
- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
- Experience interpreting data and making business recommendations
- Experience working with customers with a passion for delivering exceptional service
- Experience working in a fast-paced, rapidly changing operations environment
- Speak, write, and read fluently in English
Preferred Qualifications
- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
- Oversea education/ work experience or MBA are preferred
- Flexibility to work across multiple time-zones in multiple languages
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
M3
M4
M5
M6
L2 · Sales L2
0份报告
$183,390
年薪总额
基本工资
$73,356
股票
$91,695
奖金
$18,339
$128,373
$238,407
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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