Business Intelligence Engineer (BIE), EU Stores

AI in this role

Business Intelligence Engineer responsible for designing data models, building pipelines, and creating dashboards to drive EU retail decisions.

sqlpython

data-modellingetlbusiness-intelligencedata-visualization

Are you passionate about using data to drive business decisions at massive scale? EU Vendor Intelligence is looking for a Business Intelligence Engineer to help power Amazon's growth and profitability across European markets.

In this role, you will tackle difficult, loosely defined business problems across key retail programs including Selection and Vendor Management. You will partner closely with Program Managers and Vendor Managers — not just answering their questions, but refining problems, recommending alternatives, and anticipating future analytical needs. You will own mid-to-large BI solutions end-to-end: from data modelling and pipeline design to dashboards and deep-dive analyses that drive real business decisions.

What you'll do:
• Design robust, maintainable data models and pipelines that power reporting and analytics for EU-wide retail programs
• Write advanced SQL and leverage scripting (e.g. Python) to solve difficult analytical problems and automate BI processes
• Build compelling visualizations and self-service reporting that reduce bottlenecks and put data directly into stakeholders' hands
• Develop a deep understanding of data lineage — from source systems through metrics aggregation to how business intelligence is consumed and acted upon
• Collaborate with cross-functional teams (PMs, VMs, Data Engineers, other BIEs) to deliver solutions that balance business needs with technology constraints
• Improve code quality, optimize BI processes for speed, cost, and reliability, and mentor teammates

This is a high-visibility role where your analytical rigor and business acumen will directly influence how Amazon grows selection and manages vendor relationships across Europe. You'll work in an environment that values high-quality, well-documented solutions — and gives you the autonomy to deliver them.

Key job responsibilities
• Own the design, build, and maintenance of mid-to-large BI solutions — data models, ETL pipelines, dashboards, and analyses — supporting EU Stores retail programs such as Selection and Vendor Management
• Write advanced SQL and Python to solve difficult, loosely defined analytical problems and automate recurring BI processes
• Develop and maintain a deep understanding of data lineage: source systems, metrics aggregation logic, and how business intelligence is consumed and acted upon by stakeholders
• Partner with Program Managers, Vendor Managers, and cross-functional teams to refine business requirements, recommend analytical approaches, and anticipate future needs
• Build self-service reporting and visualization solutions that reduce bottlenecks and empower business partners to access data independently
• Ensure all solutions are efficient, testable, maintainable, well-documented, and resistant to data quality issues
• Optimize BI processes for speed, cost, and reliability; establish data and reporting SLAs where appropriate
• Mentor junior team members and contribute to team design, scoping, and prioritization discussions

A day in the life
You might start your morning reviewing a data pipeline you built, checking for anomalies before a weekly business review. By mid-morning, you're in a working session with a Vendor Manager, refining requirements for a new selection coverage analysis. After lunch, you're writing SQL to model vendor performance data, then building a QuickSight dashboard that lets Program Managers self-serve insights without waiting on ad-hoc requests. Later, you review a teammate's code, suggest a cleaner data model, and wrap up by automating a manual reporting step that's been slowing the team down.

About the team
The EU Vendor Intelligence Team builds BI solutions and capabilities that empower business users to self-serve their analytics and data needs across EU Stores. We support a wide variety of programs — from selection growth and vendor management to vendor education and vendor-facing chatbot tools. Our mission is to make data accessible, reliable, and actionable so that Program Managers and Vendor Managers can make faster, better-informed decisions at scale. We value automation over manual work, clean data models over quick fixes, and strong partnerships with the business teams we serve.

Basic qualifications

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space

Preferred qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience using Python scripting to process data for modeling

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

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.

How we rate this

Business Intelligence Engineer (BIE), EU Stores at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data ModellingETLBusiness IntelligenceData VisualizationSQLPython

Questions you could be asked

Tell me about a project where data modelling was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data visualization was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Modelling, ETL, Business Intelligence, Data Visualization, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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