Business Intelligence Engineer, EU CF Process Engineering

Are you interested in a high-impact role with exposure to senior leaders? The EU Process Engineering Team is seeking a customer-focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in Fulfillment Centre Operations. Collaborating closely with Amazon Fulfillment Center Operations and data teams, you will be responsible for developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and insights.

As a Business Intelligence Engineer (BIE I), your responsibilities include:
1. Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable pipelines and tech solutions.
2. Prioritizing initiatives, Designing and implementing technical solutions with appropriate strategies and design principles.
3. Driving best practices in Operational Excellence.

The ideal candidate will have strong experience in SQL, Redshift, metrics development, and dashboard creation using tools like QuickSight. Experience in programming is a must. You should excel in translating customer and business opportunities into innovative business intelligence solutions and demonstrate a passion for working with extensive datasets to drive data-driven decisions and build models that address critical questions for our stakeholders.

About the team

The EU PE is a group of Process Engineers located all over Europe. We are proudly part of the Ops team. Our aim is to eliminate processes variation across FCs, guiding, promoting and scaling at network level cutting edge best practices. We foster a culture of Day 1, stimulating ideas with a positive Continuous Improvement and Problem-Solving Mindset. We believe that every defect is an opportunity and we work to create higher standard every day.

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

- Experience with statistical analysis, co-relation analysis
- Experience in Data Project Management: Proven experience in successfully managing complex data projects, ensuring timely delivery and stakeholder satisfaction.

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