ALU
51 - 200 employees
🛒 Retail
🛍️ eCommerce
Retail • Design • eCommerce
ALU is a company specializing in developing and providing innovative product display solutions for various industries, including apparel, sportswear, cosmetics, and department stores. Their offerings include products like the Autopole, Insula, Plot, Tondoquadro, and others designed for efficient and aesthetically pleasing presentation and organization. ALU also engages in creating temporary showrooms and pop-ups, such as their collaboration with Nike Jordan in Paris, and virtual showrooms. Based in Italy, they emphasize modern design and functionality, aiming to enhance the customer experience in retail environments.
Business Intelligence Lead
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ALU
51 - 200 employees
🛒 Retail
🛍️ eCommerce
Retail • Design • eCommerce
ALU is a company specializing in developing and providing innovative product display solutions for various industries, including apparel, sportswear, cosmetics, and department stores. Their offerings include products like the Autopole, Insula, Plot, Tondoquadro, and others designed for efficient and aesthetically pleasing presentation and organization. ALU also engages in creating temporary showrooms and pop-ups, such as their collaboration with Nike Jordan in Paris, and virtual showrooms. Based in Italy, they emphasize modern design and functionality, aiming to enhance the customer experience in retail environments.
📋 Description
• Project manage and oversee the implementation and maintenance of the data warehouse ecosystem • Implement and maintain enterprise data catalogs • Partner with cross-functional leadership to establish a centralized catalog of standardized corporate KPIs • Collaborate with the Platform Engineering team to ensure data models accurately reflect business logic • Implement automated data profiling and testing frameworks • Act as the primary champion for data literacy across ALU • Leverage AI-assisted workflows to accelerate report generation
🎯 Requirements
• 5–7 years of experience in business intelligence or data analytics • Proven track record of architecting and maintaining enterprise-grade data warehouse and analytics environments • Hands-on proficiency with cloud data warehousing concepts (AWS Redshift preferred) • Expert-level mastery of visualization platforms (e.g., PowerBI, Apache Superset, AWS Quicksight) • Bachelor’s or Master’s degree in a quantitative field or equivalent practical experience
🏖️ Benefits
• Comprehensive safeguarding policy • Flexible working hours • Professional development opportunities
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