Commercial Intelligence
Pubblicato il 01-08-2026 - Lavazza Group in Italia
Description
At Lavazza, we are building a next-generation data-driven intelligence system to protect the official distribution of our products to our customers worldwide. Reporting to the Commercial Project Management Team, we are looking for a Commercial Intelligence & Advanced Analytics Specialist with a strong analytical mindset and a business-oriented approach, who will play a key role in transforming data into actionable insights and supporting decisions across global markets.
Who We Are Looking For
The ideal candidate will not just manage or visualize data; they will also use advanced statistical and computational approaches to extract predictive value from business data and support business decisions through mathematical modelling. You'll be able to:
- Work on a high-impact global initiative protecting the official distribution of our products worldwide
- Be part of a transformation toward data-driven and AI-enabled intelligence
- Collaborate with cross-functional teams and senior stakeholders
- Shape how data can support real-world insights and business decisions
Your Day-to-day Activities
- Build advanced analytics solutions combining data from different sources: internal product traceability systems, external data sources, integration with customer data bases, legal data base
- Design and develop enterprise-level dashboards in Power BI
- Analyse data to detect patterns, anomalies and risk signals
- Contribute to the development of risk models and data-driven intelligence tools
- Partner with cross-functional teams (Sales, Legal, Brand Protection, Top Management) to support decision-making
What You'll Bring
- Solid business and industry knowledge, with a strong understanding of sales processes and experience in analytics, supply chain data, advanced analytics or machine learning.
- Advanced skills in data analysis and visualization tools, particularly Power BI and SQL; good knowledge of Python, predictive modelling and Excel.
- Strong analytical and probl
