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

• 5+ 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

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.