Quality Engineer

Responsibilities

• Utilize the ERP system to measure and analyze supplier data to drive action plans related to supplier development and process improvement to meet minimum quality and delivery standards.
• Support and lead investigations related to non-conforming product and assure corrective actions are implemented that address the root cause, internal to Wagner and external working with suppliers.
• Participate in the design and deployment of processes, products and projects using APQP/PPAP methodologies for product and part approval to manage change and improve product quality.
• Ensure manufacturing processes adhere to standards by collaborating with Manufacturing Execution System Team to guide data acquisition, analyze production data and take real time corrective actions based on available information.
• Implement systems to ensure conformity and accuracy in the production process to ensure products adhere to company standards and requirements.
• Develop and utilize business intelligence systems to manage customer information and process improvement actions.
• Prepares reports by collecting, analyzing, and summarizing data.

Qualifications

• Bachelor’s degree in engineering or related discipline.
• Minimum of 5 years’ experience in a manufacturing environment.
• Technical knowledge of paint application equipment/hydraulics is a strong plus.
• Good working knowledge of various manufacturing processes including injection molding, die casting, machining, extrusions and electro-mechanical assembly, management, and analysis of data.
• Experience with engineering documentation systems, design drawings, geometric dimensioning and tolerancing, gauging and a variety of inspection/test equipment and design-support tools such as QFD, D-FMEA, PFMEA.
• Experience with Control Plans, APQP, PPAP, and understanding of 8D (Ishikawa) root cause analysis, process and procedure creation.
• Familiar with ISO 9000 requirements.
• AQSIQ or Six Sigma Certification is preferred.
• Experience working with ERP systems, SAP preferred.
• Able to produce and present data and analytics for improvement.
• Knowledge applying APQP methodologies.
• Data analysis including SPC and other statistical methods, understanding of industrial quality control software (minitab and similar).
• Working knowledge of Microsoft office products including Power BI.
• Quality systems and ISO Standards application and implementation knowledge.