Company Description About O-I We are reimagining the glassmaking process, we are not afraid to push boundaries as we transform an industry that has manufactured glass in nearly the same way for over 100 years. We threw away the play book and went about designing and implementing new technology, innovating processes and bringing new benefits to our customers. This is just the beginning as we expand our offering and implement future technologies across our operations. We are part of O-I, who with 25,000 + employees and an unparalleled footprint spanning 70 plants in 20 countries, provides us with the opportunity to make an impact on a global scale. Job Description Job Purpose: Support integration of data science and advanced analytics into the supply chain, utilizing tools and methodologies to extract actionable insights that optimize decision-making and improve operational KPIs. Responsible for development, improvement and implementation of best-in-class planning tools and technical approaches based on profound analysis and any other relevant methodology. Responsible for collecting, processing, and analyzing data to provide actionable insights that support business decision-making. Main Responsibilities: Data Visualization and Key Insights: Design and build interactive dashboards and automated reports to simplify the interpretation of complex data and extract key insights that drive strategic decision-making. Integrate and Analyze Big Data: Implement processes for integrating and analyzing large volumes of data, create what-if scenarios to identify opportunities and mitigate supply chain vulnerabilities. Enhance Continuous Improvement Through Automation: Leverage advanced analytics to drive process harmonization and automation, reducing transactional workloads and enhancing digital reporting interfaces across Global and Country Groups. Cross-functional Collaboration: Collaborate with IT and business teams to develop technical solutions, ensuring that analytical insights are effectively embedded in supply chain planning and operations. Qualifications 5 years of experience in Data science, Supply Chain Planning or Business Analytics. SAP APO, R/3 / HANA / SQL / BW / Access / Power BI expertise. Good understanding and application of Statistics and any analysis methodologies. Data & Project management. Language: English advanced working proficiency (oral & written). Additional Information Hybrid Work Model: We provide a flexible work arrangement, requiring employees to be on-site at our office in Centro Comercial Viva, Envigado for 3 days per week, with the remaining 2 days working from home. #J-18808-Ljbffr