Logistics Data Analytics Internship- Sedico
Pubblicato il 07-09-2026 - Beni di consumo e di lusso / Moda in Agordo
Logistics Data Analytics Internship- Sedico Brand: Operations OO
Location: Agordo, IT
We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world's evolving vision needs and the global demand of a growing eyewear industry.
With over 180,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to "see more and be more" thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world.
Your Role
The candidate will play a key role inside the Group Logistics Intelligence function,
supporting the Business Analytics & AI project streams as well as the ongoing weekly operations.
We're not looking for a purely technical profile (like a developer) but it's important to find someone with:
Some familiarity with programming languages like Python & SQL
Some exposure to standard BI methodologies and tools like PowerBI / Tableau
Main Responsibilities
Support in the execution of advanced analytics projects and their implementation across the logistics footprint
Support in the project management of Business Intelligence initiatives, coordinating with internal & external stakeholders
NETWORK OF INTERACTION:
INTERNAL:
Logistics Management
Operations function (warehouse, transportation)
Controlling
Data Analytics group function
IT team
EXTERNAL:
BI Consultants
Main Requirements
Educational Background in Engineering/Computer-Science/Statistics/Economics
Basic experience with SQL and