招聘
必备技能
Python
SQL
Tableau
Machine Learning
The FBA Analytics team is seeking a Business Intelligence Engineer to lead compliance analytics and develop tech solutions that simplify Placement and Speed processes, and the fulfillment experience. In this role, you will take full ownership of BI processes—from identifying opportunities and defining problems to scoping new ideas, estimating financial impact, and developing data engineering, reporting, and visualization solutions. You will collaborate with stakeholders across the EU and globally. This role provides exposure to senior leadership and the opportunity to develop a holistic understanding of FBA business.
- Key job responsibilities
- Reporting: Develop and manage Weekly, Monthly, and Quarterly Business Reviews and data visualizations for topline metrics, programs, and goals.
- Cross-functional Collaboration: Partner with teams such as the Placement & Speed team, EU Supply Chain team, WW FBA team, and Account Managers to build scalable frameworks and drive implementation.
- Data Management: Create and optimize data tables, automate data pipelines, and integrate new data sources outside the existing data lake.
- Strategic Analysis: Conduct in-depth analyses of new seller-facing programs, estimate the impact of new legislation and associated risks, model business scenarios, and design tailored data visualizations.
- Mentoring: Play a key role within the analytics team by sharing knowledge, formalizing BI best practices, and mentoring junior engineers and analysts.
A day in the life
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment.
Inclusive Team Culture:
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.
Mentorship & Career Growth:
We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
Basic Qualifications
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- 3+ years of blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement experience
- Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency
- Experience developing strategies that influence leadership decisions at the organizational level
- • Owning mission-critical business operations and inspection mechanisms that keep our organization operating at peak performance
Preferred Qualifications
- 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Master's degree or above in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
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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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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