Job Description:

SUMMARY

As a Manufacturing Systems Analyst, you will play a pivotal role in utilizing large live and historical data to generate useful insights that drive actionable improvements on manufacturing lines across the network. You will be part of a team that utilizes our internal proprietary AI system, human input, and various enterprise system data to provide actionable insight driving productivity and team member engagement.

REQUIRED EXPERIENCE

• Exceptional analytical acumen and knowledge of various analytical tools
• Ability to solve complex mathematical problems and pattern recognition
• Preferred but not limited high level education in engineering, mathematics, computer science, or statistics
• Lean Six Sigma Black Belt Certification or/and TPM certification is an asset
• Advanced Excel and other Microsoft Office applications
• Excellent communication skills with the ability to interact with all team members
• Ability to work under tight deadlines with an ability manage multiple competing priorities and be flexible and resilient
• Advocate for continuous process improvement and process optimization with operational finance acumen and analytical skills

• Utilizing Financial knowledge and Business / Operations acumen to build reports, business models and incorporate information, and make recommendations that drive continuous improvement and influence leaders in a rapidly changing environment.
• Identifying key drivers for productivity variances and while working with various teams to develop creative solutions to look at data in order to resolve issues and improve efficiency.
• Perform root causes analysis to identify cost saving opportunities, working with AI generated data sets and large data models to make recommendations to management.
• Analyze large datasets to forecast trends, identify actionable insights, and support strategic business decisions.
• Communicate all feedback and suggestions to the team for continuous improvement.
• Document all reports with their measured KPI improvement and financial impact.
• Monitor all improvements to ensure the changes are sustained.
• Contribute to the design and development of data collection application.