BI Engineer: Data Analytics, Automation & Visualization

Amazon; Barcelona; Presencial; EUR 45.000 - 75.000; Jornada completa

Descripción de la vacante

Amazon in Barcelona is seeking a Business Intelligence Engineer to build robust reporting, analytics, models, automations, and AI initiatives for our transportation operations in Europe. You will work with SQL, data warehouses, and Python, delivering high-quality analyses and scalable BI solutions using Tableau, QuickSight, Power BI, and related tools.

The role reports to a BI Manager and requires collaboration with regional and global stakeholders to translate business needs into data-driven

Formación

• Experience analyzing data with Redshift, Oracle, NoSQL.
• Experience with data visualization using Tableau, QuickSight, or similar tools.
• Experience with industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
• Experience with scripting languages (e.g., Python, Java, or R).
• Experience with SQL in data/BI space.

Responsabilidades

• Develop analytical solutions to business problems with data integrity and rigor.
• Write high-quality code to retrieve and analyze data.
• Translate business requirements into technical requirements and documentation.
• Present solutions and implemented features to stakeholders in weekly syncs.
• Own maintenance and error handling of deployed solutions.

Conocimientos

SQL

Python

Data analysis

Communication

Educación

Master’s degree or advanced technical degree

Herramientas

Redshift

Oracle

NoSQL

Tableau

QuickSight

Power BI

Descripción del empleo

Amazon in Barcelona is seeking a Business Intelligence Engineer to build robust reporting, analytics, models, automations, and AI initiatives for our transportation operations in Europe. You will work with SQL, data warehouses, and Python, delivering high-quality analyses and scalable BI solutions using Tableau, QuickSight, Power BI, and related tools.

The role reports to a BI Manager and requires collaboration with regional and global stakeholders to translate business needs into data-driven