Trivium Packaging is a global sustainability leader in metal packaging with more than 60 locations worldwide, nearly 8,000 employees, and an annual revenue of approximately €3.0 billion. Trivium serves a diverse range of customers in a variety of end markets such as food, seafood, pet food, nutrition, beauty and personal care, household care, and premium beverages. Trivium wants to shape the industry and has embarked on an ambitious transformation journey. In the near term, focus is on building & upskilling the team, deciding where to play & how to win, and increasing financial performance by executing the Trivium Business System (commercial, operational, and supply chain excellence). Sustainability is embedded in our materials and in our actions. Trivium has ambitious sustainability targets and focuses exclusively on products that are infinitely recyclable. Our company sustainability journey has been awarded with a Platinum medal by EcoVadis, the world’s leading rating agent who allocated this award only to the top 1% of the >75000 companies reviewed. Sustainability is embedded in each and every function at Trivium, it‘s in our DNA. The global head office is at Amsterdam Airport; however, many people work in virtual teams from different countries. Our culture is results-driven, entrepreneurial, informal, and highly multicultural. Our people have a high degree of responsibility. Position Overview: As a Data Analyst focusing on Continuous Improvement in manufacturing settings, you will be an essential part of our team, working hands-on to drive operational excellence through statistical analysis and process improvements. This role requires a proactive and detail-oriented individual eager to immerse themselves in the manufacturing environment, collaborating with cross-functional teams to identify opportunities for enhancement. Key Responsibilities: Data Collection and Validation Collect, clean, and validate manufacturing data (e.g., OEE, scrap, etc.) from various sources, ensuring accuracy and reliability. Collaborate with frontline staff to ensure data integrity and gather insights from the shop floor. Statistical Analysis Apply statistical methods (e.g., Regression, ANOVA, DOE, etc.) to analyze manufacturing data, including production metrics, quality control data, and equipment performance. Generate actionable insights to support decision-making and continuous improvement initiatives. Continuous Improvement Initiatives Participate in continuous improvement projects, employing statistical tools and methodologies to identify areas for optimization. Collaborate with manufacturing teams to implement data-driven solutions and monitor their impact. Hands-On Engagement Spend time on the manufacturing floor to gain a practical understanding of processes, challenges, and opportunities for improvement. Work closely with production teams, demonstrating a willingness to get involved and understand the intricacies of manufacturing operations. Reporting and Documentation Develop clear and concise reports and visualizations to communicate key performance indicators and improvement progress. Document methodologies, findings, and recommendations for future reference and knowledge sharing. Qualification: Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Industrial Engineering) Familiarity with data analysis tools such as Power BI or Python Strong foundation in statistical analysis and a keen interest in applying statistical methods to real-world manufacturing challenges. Excellent communication skills and ability to work collaboratively with diverse teams. Eagerness to learn and contribute to a dynamic manufacturing environment. Data modeling experience is a plus. Personal Attributes: Proactive and hands-on approach with a willingness to learn by doing. Detail-oriented, analytical thinker with problem-solving skills. Ability to adapt to a fast-paced and dynamic manufacturing setting. Enthusiastic about contributing to the improvement of manufacturing processes. This role presents an exciting opportunity for a data analyst with a statistical background to make a meaningful impact on our manufacturing operations while gaining valuable hands-on experience in continuous improvement initiatives. The successful candidate will play a vital role in shaping the efficiency and effectiveness of our manufacturing processes through statistical analysis and data-driven insights. BRINGING YOUR TRUE SELF TO WORK To reach our goals, we know we need colleagues at all levels who are truly diverse in every way. That’s why we are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. Our customers come from a wide range of backgrounds, and so do our people and It’s business critical for us to ensure all our people have what they need to perform at their best and can be their true selves at work.
