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Sr. Business Intelligence Engineer , ESM Central Operation

Amazon

Sr. Business Intelligence Engineer , ESM Central Operation

Amazon

Shanghai, 31, CHN

·

On-site

·

Full-time

·

1mo ago

Required Skills

SQL

Excel

Python

Data visualization

Data automation

Business analysis

Amazon Global Selling is a key initiative to achieve our vision to offer customers Earth’s largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year, tens of thousands of businesses join our Marketplace in 10 countries, adding millions of new products.
Amazon's Asia Global Selling Existing Seller Management (ESM) team currently seeks a passionate business analyst to turn data into actionable insights, and support answer strategic business questions.

Key job responsibilities
In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights. In this role, you will have ownership of end-to-end analytics development to complex questions and you’ll play an integral role in strategic decision making.
You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities, and to drive data-driven decision into process & tool improvement together with business team. Above all, you should be passionate about how insights can be used to improve both the Customer and Seller experience of selling across borders.

Basic Qualifications

  • 8+ years of analyzing and interpreting data with SQL, Excel and other data tools
  • Experience with data visualization using Quicksight, or similar tools
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience in data automation and able to build report/dashboard through automation tools
  • Experience working directly with business stakeholders to translate between data and business needs

Preferred Qualifications

  • Experience in Python is a plus

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

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

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