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Job Title


Statistical Process Control (SPC) Coordinator/Quality Analyst


Company : Crown Holdings


Location : Calgary, Alberta


Created : 2025-10-17


Job Type : Full Time


Job Description

Overview CROWN Metal Packaging Canada LP., a wholly owned company of Crown Holdings, Inc. is a global leader in the design, manufacture, and sale of packaging products for consumer goods. At Crown, we are passionate about helping our customers build their brands and connect with consumers around the world. We do this by delivering innovative packaging that offers significant value for brand owners, retailers, and consumers alike. With operations in 39 countries employing over 23,000 people and net sales of over $12 billion, we are uniquely positioned to bring best practices in quality and manufacturing to our customers to drive their businesses locally and globally. Sustaining a leadership position requires us to build a team of highly talented, dedicated, and driven individuals. Division Overview: Crowns Beverage Division manufactures a variety of packaging solutions for soft drinks, craft beers, coffees, and teas as well as new energy drinks. Crown Beverage leads the packaging industry with innovative technologies that redefine how the world looks at beverage cans. With a large printable surface area and a wide range of sizes, shapes and decorating options, our aluminum cans are the perfect packaging format to create compelling brand presence where it counts. Here is your chance to join the Crown Beverage Division. Position We currently have an opening for an Statistical Process Control (SPC) Coordinator/Quality Analyst at our manufacturing facility located in the Foothills Industrial Park in south-east Calgary. The successful candidate will report directly to the Quality Manager. This position is on-site. Responsibilities Monitor and maintain MSA gauges. Evaluate and provide feedback to improve manufacturing, quality, and capacity. Provide technical support and training to manufacturing personnel in the application of statistical tools and problem-solving techniques. Provide statistical analysis of plant manufacturing performance. Conduct statistical evaluations of new and existing equipment to determine process capability and process performance analysis studies. Manage SPC training program for salaried and hourly personnel. Conduct training in basic SPC principles, tools, and applications. Conduct training in the application of statistical problem-solving techniques. Coach hourly personnel in the use of SPC tools and software on the plant floor. Provide process analysis to QA Manager and Quality Team on plant performance, including monthly PPR requirements and weekly statistical reports. Conduct Gauge R&R, Stability, and Accuracy studies. Support establishment and monitoring of gauge maintenance, calibration, and housekeeping programs. Provide training in the use of statistical software packages (NWA, JMP). Assist with plant SOP training and development. Support Corporate Quality with the maintenance of quality network systems. SPC Implementation Team Lead Six Sigma and Lean Process Improvement Teams. Plant Process Performance Audits. Generate monthly Customers COAs. Qualifications Bachelors degree in mechanical or electrical engineering. Three or more years of quality/engineering experience including at least two years of manufacturing experience. ASQ CQE and/or Six Sigma Green Belt Certification. Statistical Software experience (e.g., NWA, JMP, Minitab). Advanced knowledge in Lean Six Sigma and SPC tools. Advanced Gauge Capability analysis. Intermediate/Advanced knowledge in Microsoft Office 365. Analytical skills (ability to objectively evaluate data and perform statistical analysis). Technical Writing skills. Communication skills (verbal and written). Travel 0 - 10% Equal Opportunity Crown is an equal opportunity employer. Crown does not discriminate against any candidate or employee on the basis of race, national origin, sex, marital status, sexual orientation, age, disability, religion, veteran status, or any other status protected by law. #J-18808-Ljbffr