Digital Process Optimization Intern

1 settimana fa

Ne, Italia Essilorluxottica Group A tempo pieno

If you've worn a pair of glasses, we've already met.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.Discover more by following us on LinkedIn 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.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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