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Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for leading a BIE team building out analysis and visualization tools and processes ’ to support our growing Amazon Logistics business.
The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities, business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.
Key job responsibilities
Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
Lead and develop a team of Business Intelligence Engineers and Business Analysts
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
About the team
The AMZL ORBIT (Operations Reporting, Business Intelligence, and Technology) team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our stakeholder set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL. The BI team maintains and improves metric reporting and AMZL's content in Perfect Mile. This team also support publication of WBR decks across NA, EU and JP. We also support a limited set of reports in Tableau and Quick Sight dedicated for analytical purposes.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
총 조회수
0
총 지원 클릭 수
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모의 지원자 수
0
스크랩
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비슷한 채용공고
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
2.3
보상
4.2
문화
3.1
커리어
3.8
경영진
2.7
65%
친구에게 추천
장점
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
단점
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
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
뉴스 & 버즈
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