Quality Production Engineer/Data Analyst

About the position

The Quality Production Engineer takes a leadership role in developing efficient manufacturing processes through the use of standardized work, FIFO (First In First Out), 6S, etc. A Quality Production Engineer is a technical resource that works with Process Engineering and Operations to optimize daily operations and process performance to deliver high quality, efficiently produced product. This role executes projects critical to the division's production & process engineering roadmaps, resolves production issues, drive efficiency improvements, and shares knowledge to strengthen the performance of the team. The ability to design and develop systems to data analyze to improve efficiency within the manufacturing process.

Responsibilities

• Diagnose problems in the production line and provide recommendations and training.
• Assess and analyze current production methods.
• Develop and write program improvements for production and other areas to improve efficiency.
• Develop and draft an improved production process.
• Design and implement cost-reductive changes.
• Maximize productivity of machinery and workers.
• Lead post builds for low yielding products.
• Lead Capacity studies for assigned processes.
• Collaborate with the production engineering staff in preparing & maintaining capacity models and plans.
• Lead equipment uptime projects.
• Develop complete and easy to use work instructions and lead training to those work instructions.
• Utilize PFMEA & Control Plans to assess process risks and maintain effective process controls.
• Determine the correct data sets and variables.
• Collect large sets of structured and unstructured data from disparate sources.
• Clean and validate the data to ensure accuracy, completeness, and uniformity.
• Devise and apply models and algorithms to mine the stores of big data.
• Analyzing the data to identify patterns and trends.
• Interpret the data to discover solutions and opportunities.
• Communicate findings to stakeholders using visualization and other means.
• Identify the data-analytics problems that offer the greatest opportunities to the organization.

Requirements

• Bachelor's degree in production engineering or industrial engineering with 2-5 years of experience, or Bachelor's degree in Engineering, or an equivalent combination of 5+ years' practical experience and coursework is preferred.
• Superb analytical, problem-solving, and critical thinking skills.
• Strong leadership abilities.
• Superb written and verbal communication skills.
• Great attention to detail and organizational skills.
• Proficiency with Microsoft Office.
• Demonstrated proficiency with a programming language such as Python, Matlab or Visual Basic.
• Experience or familiarity with CAD.
• Familiarity with standardized work combination tables, Takt time, cycle time, etc.
• Fundamental concepts in data science and analytics.
• Understanding of SQL and relational databases.
• Experience in SQL Join and conditional flow statements is preferred.
• RStudio for programming experience is preferred.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401K
• Flexible Spending Account
• Health Savings Account
• Accident benefits
• Life insurance
• Disability benefits
• Paid vacation & holidays