Business Intelligence Engineer (BIE), EU Stores

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 Amazons 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 youll 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. Youll 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 youre in a working session with a Vendor Manager refining requirements for a new selection coverage analysis. After lunch youre 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 teammates code suggest a cleaner data model and wrap up by automating a manual reporting step thats 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.

- 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

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

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