Digital Process Optimization Intern: Data & IoT Analytics

EssilorLuxottica; Agordo; In loco; EUR 7800 - 12.000; Tempo pieno

Descrizione del lavoro

EssilorLuxottica invites applications for a 6-month paid internship at our Agordo (BL) operations hub. You will join the BPI team to drive Digital Continuous Improvement, tackling IIoT implementations, SPC data analytics and data-driven efficiency improvements.

As a Digital Process Optimization intern, you will analyze data with SQL, visualise results in Power BI, and apply Python or R for statistical tasks, while supporting LPA digitalization and cross-functional reporting.

Competenze

• Educational background in STEM fields.
• Strong analytical and problem-solving skills.
• Basic knowledge of SQL and relational databases.
• Basic knowledge of data visualization tools (Power BI is a plus).
• Basic knowledge of Python or R for statistical analysis.
• Good adaptability, flexibility, and 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

SQL

Power BI

Python

R

Relational databases

Data analysis

Formazione

STEM degree (Engineering/Statistics/CS or related)

Strumenti

Power BI

Descrizione del lavoro

EssilorLuxottica invites applications for a 6-month paid internship at our Agordo (BL) operations hub. You will join the BPI team to drive Digital Continuous Improvement, tackling IIoT implementations, SPC data analytics and data-driven efficiency improvements.

As a Digital Process Optimization intern, you will analyze data with SQL, visualise results in Power BI, and apply Python or R for statistical tasks, while supporting LPA digitalization and cross-functional reporting.