Who you are
- The idóneo candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to “Work Hard. Have Fun. Make History”
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc
- 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
- Knowledge of data modeling and data pipeline design
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Knowledge of one or more industry analytics visualization tools like Excel, Tableau, AWS QuickSight, MicroStrategy or PowerBI, and statistical methods like t-test or Chi-squared
- Experience building services using AWS products
- Experience building GenAI solutions with AWS (Agentcore, Strands, Bedrock)




- Master's degree, or Advanced technical degree
- Experience with statistical analysis, co-relation analysis
What the job involves
- Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to create the next-generation tools for intuitive data access for transportation operations?
- We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models, automations and AI initiatives for EU operations. You will be a key contributor to shaping our strategic innovation program by equipping the project teams with the insights into the operation performance
- You will have an eye for detail, proficient/advanced SQL/DW/Python and have a knack for solving challenging data, reporting and automation challenges. The role requires you to feel comfortable working with and clearly communicating with other functi

📌 Business Intelligence Engineer (Barcelona)
🏢 Amazon
📍 Barcelona