Digital Process Optimization Internship
Pubblicato il 06-10-2026 - EssilorLuxottica in Agordo
ENVISION YOUR FUTURE JOB:
We are looking for young talents, motivated, curious and enterprising, to join us at our Operations Headquarter in Agordo (BL), where the history of our Company got started.
We are Luxotticans, unconventional people that are pioneer and trendsetters. We are people who turn passion into dedication and focus on delivering great results.
We love entrepreneurial people that take responsibilities from Day-1, and strive to achieve their goals. During your 6 months internship, you will put your hands-on different challenges, experi-encing what it means to work in a fast-paced environment.
Your Role
We are seeking a Digital Process Optimization intern to join the BPI team supporting Digital Continuous Improvement (D-CI) projects. Our mission is to act as an enabler for CI teams and Subject Matter Experts supporting them with digital tools and data analytics to make quick data-driven decisions, identifying and solving problems before they become critical.
The successful candidate will contribute to initiatives involving IIoT (Industrial Internet of Things)
implementation, Statistical Process Control (SPC), data-driven efficiency improvements and LPA (Layered Process Audit) digitalization.
Are you ready for it?
MAIN ACTIVITIES:
- Perform data analysis and visualization using SQL and Power BI
- Conduct statistical analysis (e.g. EDA, Regression, Correlation, ANOVA, Time series) using Python or R
- Support IIoT integration projects and digitalization initiatives for process improvement
- Assist in monitoring SPC indicators and efficiency metrics
- Support LPA audit digitalization and related reporting
- Collaborate with Continuous Improvement and Operations teams to deliver actionable insights
PORTRAIT OF A PERFECT CANDIDATE:
You know you are a Luxottican when you recognize yourself in our 4 characteristics (imaginative, passionate, entrepreneurial, simple & fast) and:
- Educational background in STEM fields (Engineering, Statistics, Computer Science