채용
Amazon's Customer Service (CS) department is seeking an experienced Business Analyst to join the team. CS is the heart of Amazon; our vision is to be Earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online.
The successful candidate will be a key member of the Amazon CS Data Analytics Support Hub (DASH).
The team mission is to shape the future of decision making using next generation analytics technologies, insights, and improve the customer experience together with our worldwide (WW) partners under the Quality & Escalations space.
As a Business Analyst, you will translate business problems into actionable business insights. You are an analysis expert who leverages a variety of data platforms and analytical tools to provide a holistic view of the customer experience. You build deep contextual and domain knowledge, ensure data quality and build scalable tools. You effectively communicate findings across a wide range of senior stakeholders.
This position can be located LUX21 or HYD20.
Key job responsibilities
Responsibilities include but are not limited to:
- Translate complex or ambiguous business problem statements into analysis requirements.
- Proactively and independently work with stakeholders to define analytical approach and construct use cases.
- Build knowledge on data and metrics of the wider business for providing the big picture on the customer experience and how it translates into business metrics.
- Solve ambiguous analyses with non-defined inputs and outputs; dive into the heart of the problem and identifies root causes.
- Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes.
- Work with a variety of data sources and large data sets, pull data using efficient query development and provide a holistic and consistent view of the data.
- Provide insights through basic statistical measures such as hypothesis testing for improvement initiatives.
- Actively drive automation of data requirements by scaling data processes and create self-service tools.
- Communicate complex analytical insights and business implications effectively.
- Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.
Basic Qualifications
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience in financial/business analysis
Preferred Qualifications
- Master's degree in computer science, engineering, mathematics or equivalent
- Experience with AI/ML technologies
- Knowledge of general AI tools
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
3.4
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.0
커리어
3.8
경영진
2.7
65%
친구에게 추천
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
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
6개 면접
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
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