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Sr. Business Operations Manager, NBS, CN Expansion

RoleOperations
LevelSenior
LocationShanghai, 31, CHN
WorkOn-site
TypeFull-time
Posted2 weeks ago
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Sr. Business Operations Manager, CN Expansion

The mission of Amazon Global Selling (AGS) is to enable vast global selection on Amazon's WW Stores through recruiting and supporting quality and compliant Sellers from anywhere around the world.
Today, CN Global Selling (CN GS) supports millions of China Sellers for their success on up to 20 Amazon worldwide marketplaces including US, CA, EU, JP, AU, IN etc.
Are you passionate about leveraging data analytics and quantitative analysis skills to drive worldwide business impact? Are you excited about developing innovative solutions that help sellers succeed while optimizing Amazon's global operations? If so, this role could be perfect for you.
The CN GS NBS ASE team is responsible for recruiting, driving growth and development of sellers in the Chinese market. Partnering with business, product, and engineering teams, we catalyze seller growth with comprehensive data analysis levering AI and data skills, to deliver unique insights, and actionable recommendations. We're seeking a Sr. Business Intelligence Engineer with rich experience on both technical and technical program management skill and to join our dynamic team focused on seller intelligence, analytics and operational optimization. This role combines strategic analytics capabilities with practical business applications to drive seller growth and operational excellence across Amazon's global markets.

Key job responsibilities
Your daily responsibilities include but not limited to :

  • Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
  • Create global standard metrics across regions and perform benchmark analysis.
  • Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
  • Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
  • Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
  • Develop efficient data querying and modeling infrastructure.
  • Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
  • Utilizing code (SQL etc.) for analyzing data and building statistical models.

Basic Qualifications

  • 10+ years of Microsoft Excel experience
  • Bachelor's degree or equivalent
  • Experience developing and implementing systems/tools utilized for CRM, variable compensation, revenue reporting, forecasting, Salesforce automation, etc.
  • Experience defining, refining and implementing sales processes, procedures and policies or equivalent

Preferred Qualifications

  • Experience with SQL
  • Experience presenting to senior leadership

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

$1.5T

Valuation

Reviews

10 reviews

3.4

10 reviews

Work-life balance

2.5

Compensation

4.2

Culture

3.0

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

Salary Ranges

4 data points

Junior/L3

L2

L6

M3

M4

M5

M6

Intern

L3

L4

L5

Junior/L3 · Warehouse

1 reports

$30,509

total per year

Base

$23,546

Stock

-

Bonus

-

$30,509

$30,509

Interview experience

6 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 17%

Negative 83%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge