招聘
必备技能
SQL
The Global Logistics Exports organization enables customers across the world to access international selection that is sold in other countries. To do so, we manage the global cross-border supply chain, operating the largest Amazon cross-country network spanning +1k lanes and 200 countries. . By incorporating various programs and businesses into our supply chains, we spin the flywheel to reduce costs and improve delivery speeds for all our clients.
We are looking for a Business Analyst to join our growing organization. In this role, you will lead the development and optimization of Business Intelligence metrics that drive decision-making across our operations. You will partner with Tech, Operations, and Business teams to define key performance indicators, develop data pipelines, create Quick Suite dashboards, and translate complex data into actionable insights that inform product strategy and operational excellence.
The ideal candidate thrives in ambiguous environments, has strong analytical and technical skills, and can communicate effectively with both technical and non-technical stakeholders. You will be responsible for monitoring business performance, identifying risks and opportunities, and delivering diagnostic analytics that influence multiple teams' strategic decisions.
- Key job responsibilities
- Partner with Product Managers, engineers, and operations teams to define, track, and analyze key performance metrics for cross-border supply chain products
- Conduct root cause analysis on business performance issues and provide data-driven recommendations to leadership
- Develop and maintain Quick Suite dashboards that provide visibility into product performance, operational efficiency, and customer experience
- Write complex SQL queries in Redshift to extract and analyze large datasets, identifying trends and opportunities for improvement
- Translate analytical findings into clear, actionable insights for technical teams, operations partners, and senior leadership
- Monitor business metrics proactively, flagging risks before they impact customers
- Collaborate with Business Intelligence Engineers and Data Engineers to improve data infrastructure
A day in the life
Your day starts by monitoring cross-border supply chain dashboards, identifying performance anomalies across our global network. You'll spend time writing SQL queries in Redshift to investigate root causes, then meet with Product Managers to discuss findings. Afternoons often involve building new Quick Suite visualizations or presenting diagnostic analytics to operations partners. You'll collaborate with Data Engineers to improve data pipelines and document your analytical methodologies for the team.
About the team
Join a growing analytics team supporting Amazon's largest cross-border logistics network. We work at the intersection of technology, operations, and strategy, partnering with teams across the globe. Our team values curiosity, data-driven decision-making, and clear communication. You'll have the opportunity to influence product strategy and operational excellence while working with diverse stakeholders from engineers to senior leadership.
Basic Qualifications
- 3+ years of business or financial analysis experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing SQL queries to extract and analyze data
- 5+ years of experience with Excel including pivot tables and advanced functions
Preferred Qualifications
- Experience writing and optimizing SQL queries with large-scale, complex datasets
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
- Experience in Redshift, or experience in any Bigdata architecture
- Experience in program management, logistics, operations, supply chain, transportation, or a related field
- Master's degree in an analytics field
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, Bellevue - 82,700.00 - 130,100.00 USD annually
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关于Amazon

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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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