Digital Process Optimization Intern — Data Analytics & IIoT

Luxottica; Agordo; In loco; EUR 8900 - 12.000; Tempo pieno

Descrizione del lavoro

Luxottica invites applications for a 6-month paid Digital Process Optimization internship at our Operations HQ in Agordo (BL). You will join the BPI team to enable digital continuous improvement, using data analytics, SQL and Power BI to drive quick data-driven decisions.

Expect hands-on projects with IIoT, SPC, and LPA digitalization while learning in a fast-paced environment. The role focuses on data analysis, visualization, and collaborating with CI and Operations to deliver actionable

Competenze

• STEM background with relevant coursework.
• Strong analytical and problem-solving abilities.
• Basic SQL and relational database knowledge.
• Experience with data visualization tools (Power BI preferred).
• Basic Python or R for statistical analysis.
• Willingness to learn in a dynamic environment.
• Strong teamwork and communication skills.

Mansioni

• Perform data analysis and visualization using SQL and Power BI.
• Conduct statistical analysis (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.

Conoscenze

Analytical thinking

Problem solving

Adaptability

Teamwork and communication

SQL basics

Python or R basics

Formazione

STEM background

Strumenti

Power BI

SQL

Python

R

Descrizione del lavoro

Luxottica invites applications for a 6-month paid Digital Process Optimization internship at our Operations HQ in Agordo (BL). You will join the BPI team to enable digital continuous improvement, using data analytics, SQL and Power BI to drive quick data-driven decisions.

Expect hands-on projects with IIoT, SPC, and LPA digitalization while learning in a fast-paced environment. The role focuses on data analysis, visualization, and collaborating with CI and Operations to deliver actionable