Business Intelligence Engineer, RSI

Amazon; Greater London; On-site; GBP 70,000 - 105,000; Full time

Job summary

Amazon is seeking a Business Intelligence Engineer to power EU supply chain analytics from either London or Luxembourg. You will design and manage data pipelines, build dashboards, and translate data into clear business insights for diverse stakeholders.

You will collaborate with senior BIEs and product managers, automate reporting, and contribute to an AI-powered analytics path within RSI. Strong data skills and communication are essential.

Qualifications

• Experience analyzing data with Redshift, Oracle, NoSQL.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with analytics tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistics (t-test, Chi-squared).
• Experience with scripting languages (Python, Java, or R).
• Experience with SQL and data/BI spaces.

Responsibilities

• Design and maintain data pipelines, models, and dashboards for EU stakeholders.
• Translate complex data into actionable insights for technical and non-technical audiences.
• Challenge assumptions with data to inform decisions and automate where possible.
• Build sustainable, long-term data solutions and automate recurring reporting.
• Collaborate with senior BIEs and product managers to translate business questions into analytics.

Skills

Data mining

Data modeling

Quantitative analysis

Communication

Ambiguity handling

Collaborative mindset

Education

Master’s degree

Advanced technical degree

Tools

Tableau

Quicksight

PowerBI

Excel

SQL

Python

Redshift

Oracle

NoSQL

Job description

Job ID: 10444879 | Amazon EU SARL (UK Branch)

This position can be based out of either London or Luxembourg.

The Retail Supply Chain Initiatives (RSI) team is looking for a Business Intelligence Engineer who thrives in a collaborative, creative, and fast-paced environment where ambiguity is the norm and analytical thinking drives impact.

In this role, you will develop, enhance, automate, and manage analytical models that power decision-making across EU supply chain operations.

What you’ll do:

• Design and maintain data pipelines, models, and dashboards that serve multiple stakeholders across the organization
• Translate complex data into clear, actionable insights and present findings to both technical and non-technical audiences
• Use data to constructively challenge assumptions and inform better decisions
• Identify opportunities to simplify and automate, building sustainable long-term solutions

What we’re looking for:

• Solid foundation in data mining, modelling, and quantitative analysis
• Experience working with large-scale datasets (professional or academic)
• Clear written and verbal communication skills — able to tell the story behind the data
• Comfort navigating ambiguity and a willingness to ask questions to define problems
• A collaborative mindset with curiosity and eagerness to learn from experienced team members

This role is based in Amazon’s EU offices in London or Luxembourg.

Key job responsibilities

• Build and maintain ETL pipelines and data models supporting EU supply chain analytics
• Develop dashboards and reporting solutions for retail stakeholders, ensuring data accuracy and timely delivery
• Perform deep-dive analyses on supply chain metrics, surfacing root causes and actionable recommendations
• Automate recurring reporting and data quality checks to reduce manual effort
• Partner with senior BIEs and product managers to translate business questions into analytical solutions
• Document data sources and methodology to enable self-service for business users
• Help shape the future of our analytics practice — contributing to the team’s transition toward AI-powered, conversational data experiences that are replacing traditional dashboards

About the team

The Retail Supply Chain Initiatives (RSI) team's vision is to evolve EU Retail inbound into the most cost-efficient and selling partner-friendly integrated supply chain. The BI team within RSI provides the analytical backbone for this mission — delivering timely, actionable insights across dashboards, financial reporting, and data products that serve 4,000+ users across the EU stores organization.

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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)
• Experience with SQL
• Experience in the data/BI space

Preferred Qualifications

• Master’s degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.