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Amazon
Amazon

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BI Analyst

직무데이터 엔지니어링
경력미들급
위치Beijing, 13, CHN
근무오피스 출근
고용정규직
게시2주 전
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Amazon Web Services, Inc. ("AWS") enables customers of all sizes to run their applications on Amazon’s industry-leading cloud computing infrastructure. AWS is growing very rapidly with hundreds of thousands of companies in over 190 countries on the platform. This growth is driving the need for an experienced Business Insights Analyst. Amazon has a strong culture of data-driven decision-making; requiring timely, accurate, and actionable intelligence that delivers significant business value. We are looking for a hands-on and motivated self-starter who is passionate about using data to help us measure every area of the business and influence decision-making.
In this role, the Business Insights Analyst serves as the subject matter expert to fulfill data-driven decision making demands. As the successful candidate, you must be able to roll-up your sleeves and work directly with large and complex datasets. You will continuously evolve business reporting, conduct data analysis, build self-service reporting and analytical tools, and deliver business insights in an environment of rapid growth and increasing complexity.
You will be passionate about your work, detail-oriented, analytical, and possess creative problem-solving abilities. You will need to demonstrate subject matter expertise in querying and extracting large datasets and the accompanying tools and programming languages needed to work with them. You will possess good communication and project management skills, is customer obsessed and able to communicate complex business insights; both verbally and in writing; in a clear and precise manner.

Key job responsibilities
1. Lead the development of self-service reporting and analysis by creating and owning business reports and insight products
2. Conduct data analysis to solve business problems through the use of statistical and/or machine learning models
3. Continuously sharpen the skill-set by learning and maintaining knowledge of existing and emerging business intelligence tools
4. Collaborate with the internal and global data engineering teams on the design, development and maintenance of data infrastructure including data models
5. Collaborate with the internal and worldwide data science teams on the design, development and maintenance of statistical and/or artificial intelligence/machine learning (AI/ML) models

About the team

Inclusive Team Culture:

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth:

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications

  • 5+ years of Microsoft Excel experience
  • Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field
  • Experience with sales CRM tools such as Salesforce or similar software
  • Experience defining, refining and implementing sales processes, procedures and policies or equivalent

Preferred Qualifications

  • 5+ years of finance, business management and sales operations experience
  • Experience working within a high-growth, technology company

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

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge