refresh

지금 많이 보는 기업

지금 많이 보는 기업

Amazon
Amazon

Work hard. Have fun. Make history.

Business Intelligence Engineer, Fire Tablets

직무데이터 분석
경력미들급
위치Seattle, WA, United States
근무오피스 출근
고용정규직
게시2주 전
지원하기

The Tablet Data Foundations and Insights team is looking for motivated self-starters who can work in a fast paced, data-driven environment. The successful candidate will be an analytical problem solver, have an extremely high level of customer focus and a passion for data based recommendations and decision making.
As you further your career as a Business Intelligence Engineer with Amazon Devices, you will focus on improving the success of our business. You will analyze customer satisfaction, study behaviors that lead to high-value actions, discover and solve real world problems and build metrics and business cases to improve the customers experience. We are focused on your success and want to build strong leaders within our organization. You can expect to leverage your analytical skills and have full ownership of the projects you work on.
Successful candidates will demonstrate our leadership principles: a bias for action, deep dive, attention to details, ownership and customer-obsession.

Key job responsibilities
In this role you will:

  • Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
  • Put on your marketing cap to drive insights and action we can take to improve the customer experience
  • Measure the key metrics of our business and propose/implement projects to improve these metrics

Basic Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

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