채용

Senior Seller Consultant, NBS - ASE - Strategic Target Recruitment
Shenzhen, 44, CHN
·
On-site
·
Full-time
·
4w ago
필수 스킬
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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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Sales L2
0개 리포트
$183,390
총 연봉
기본급
$73,356
주식
$91,695
보너스
$18,339
$128,373
$238,407
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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