United Spinal Association Jobs

Data Analyst - Business Intelligence. Job ID: 38577 Location: Multiple Locations, National, US Education Level: Bachelor's Degree Location Type: Hybrid Talent Area: Operational Excellence Trivium Packaging is aglobal sustainability leader in metal packagingwith more than 60 locations worldwide, nearly 8,000 employees, and an annualrevenue 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 anambitious transformation journey. In the near term, focus is on building & upskilling the team, deciding where to play & how to win, and increasing financial performance byexecuting 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 onproducts 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 f