채용
필수 스킬
SQL
AWS
External job description
This role is on the Chronicle team within Selling Partner Services. We own the Turismo product suite, which is powered by Ripple, a dynamic query engine. Turismo is a well loved product, with 15k+ users globally. Ripple is a PrestoDB based query engine that is built to scale, and processes 2M+ queries per week. We are a full stack team, with Product managers, UX designers, TPMs, SDEs, DEs and Data Scientists.
Impact
Ever wondered how Amazon offers the Earth's biggest selection and still manages to offer lower prices every day to our customers? Our retail business teams work with a massive array of vendors and business financial performance metrics to expand selection and drive costs lower. Given the rapid growth of our business, this requires our category leaders, financial analysts, site merchandisers and vendor managers to quickly analyze vendors, categories and brands, diving deep into data showing business efficiency down to the unit sale level. The technology that enables this has huge visibility and impact and is critical to Amazon's continued profitability and growth.
Innovation
We're working on the future. If you are seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real world problems. If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity. The responsibilities of this role will be key in paving the future of Amazon Retail and transforming how we do business.
Opportunity
You will be part of a team of creative, top-notch engineers who work hard, have fun, and make history.
Key job responsibilities
Strategic & Technical Leadership:
Establish architectural patterns for enterprise analytics solutions
Design technical standards and best practices for analytics delivery
Create frameworks for metrics definition and governance
Lead implementation of strategic analytics initiatives
Drive innovation in analytics capabilities
Solution Development:
Analyze reports and dashboards to determine appropriate migration strategies
Leverage latest technologies to convert legacy report layouts and KPI calculations into modern AWS Quick Sight solutions
Design and implement technical solutions with appropriate analytics strategy and data set design
Drive best practices in operational excellence, data modeling, and analysis
Ensure BI solutions correctly and efficiently support the business
Collaboration & Mentorship:
Work closely with business stakeholders to understand their needs and build sophisticated analytics solutions
Mentor team members on architecture and design
Define patterns for self-service analytics platforms
Communicate effectively with management audiences through narratives and business reviews
Basic Qualifications
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Proficiency in ETL processes and data modeling
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results 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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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
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
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
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
뉴스 & 버즈
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2d ago
Amazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent Results - Gizmodo
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