EU Supply Chain BI Engineer — Data Insights & Automation

Amazon

Greater London

On-site

GBP 70,000 - 105,000

Full time

3 days ago
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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

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.

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