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Internship - AI & Data Analytics for Finance Transformation

Pubblicato il 17-10-2026 - Pirelli in Milano

Questa posizione è in Pirelli

Il processo di selezione sarà interamente gestito Pirelli.

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Internship - AI & Data Analytics for Finance Transformation Posting Start Date: 12/10/2026 Country: Italy Location: Milan Function: Finance, M&A; & Risk Management Experience: no experience DISCOVER PIRELLI We are a global leader in the tire industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on our cutting-edge technology and commitment to sustainability. Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. Because power is nothing without our people WHY JOIN US We are offering a rewarding role with scope for career progression along with:
- International, engaging, and supportive working environment.
- Competitive reimbursement.
- Free company restaurant.
- Personal and professional development.





DRIVE YOUR FUTURE You will join the Finance Transformation team within the Group Process area in our HQ, getting exposure with the Head of Finance Transformation. The role focuses on supporting Operational Excellence initiatives through the development of performance cockpits, KPI frameworks, and analytical models used to measure the adoption and effectiveness of digital finance solutions. You will also explore how AI and digital tools can improve analysis, reporting, automation, and decision-making across the Finance organization. This internship offers hands-on experience in real transformation projects within an international environment. WHAT YOU WILL LEARN You will collaborate with your tutor in:
- Developing and maintaining KPI dashboards and performance cockpits using Microsoft Excel, Power BI, and other analytics tools.
- Analyzing operational and process data to monitor adoption, performance, and busi

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