EU Supply Chain BI Engineer: Dashboards & Data Pipelines

Amazon; Greater London; On-site; GBP 60,000 - 110,000; Full time

Job summary

Amazon seeks a data-driven analytical professional to support EU supply chain analytics in London. You will develop models, dashboards, and pipelines, translating complex data into actionable insights for stakeholders across the organization.

The role requires strong SQL, Python or R, and experience with Redshift/NoSQL and Tableau or Power BI. Collaboration with senior BIEs and product managers is essential, with a focus on scalable, automated solutions.

Qualifications

• Experience analyzing and interpreting data with data systems such as Redshift, Oracle or NoSQL.
• Proficiency in data visualization using Tableau, Power BI, or QuickSight and Excel.
• Strong SQL skills and scripting knowledge in Python/Java/R.
• Clear written and verbal communication; ability to work with ambiguity and learn from others.

Responsibilities

• Develop, automate, and manage analytical models supporting EU supply chain operations.
• Design and maintain data pipelines, models, and dashboards for multiple stakeholders.
• Translate complex data into actionable insights and present to technical and non-technical audiences.
• Build ETL pipelines and data models; ensure data accuracy and timely delivery.
• Partner with senior BIEs and product managers to translate business questions into analytical solutions.
• Document data sources and methodologies to enable self-service for business users.

Skills

Data analysis

SQL

Python

R

Data visualization

Communication

Big data

Education

Masters degree or advanced technical degree

Tools

Tableau

Power BI

Excel

Redshift

Oracle

NoSQL

ETL

Job description

Amazon seeks a data-driven analytical professional to support EU supply chain analytics in London. You will develop models, dashboards, and pipelines, translating complex data into actionable insights for stakeholders across the organization.

The role requires strong SQL, Python or R, and experience with Redshift/NoSQL and Tableau or Power BI. Collaboration with senior BIEs and product managers is essential, with a focus on scalable, automated solutions.