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Digital process optimization intern

Agordo
Luxottica
Pubblicato il 11 marzo
Descrizione

If you’ve worn a pair of glasses, we’ve already met.

Possiede le qualifiche e le competenze giuste per questo lavoro? Lo scopra qui sotto e invii la sua candidatura per essere preso/a in considerazione.
We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.
Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.
Your #FutureInSight with EssilorLuxottica
Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible.
Your Role
We are seeking a Digital Continuous Improvement (D-CI) analyst to join the BPI team. 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.
Main Responsibilities

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

Main Requirements

Educational background in STEM fields (Engineering, Statistics, Computer Science, or related)
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

Our Diversity, Equity and Inclusion commitment
We are committed to creating an inclusive environment for all employees. xjrgpwk We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.
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