Manufacturing Data Specialist

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Primary Purpose of the Position:

Drives operational excellence through the use of data-based analysis and designed experimentation. Drives process consistency (i.e. document and change) through the use of appropriate control systems.  Promotes a continuous improvement culture through the use of data-based analysis and decision making, team collaboration and empowerment, and systems thinking.

Essential Responsible Areas:

• Leads and strategically advises plant leadership on line throughput, line balance and process improvement opportunities through requirements gathering, data extraction / transformation, organized analysis and effective visualization of information.
• Supports process owner to ensure adherence to MCO process
• Supports and adheres to document control system for all controlled documents that includes processes for notification, tracking and recording of changes in designated control systems (i.e. portal / SharePoint).
• Collaborates with functional areas to develop and report performance metrics against targets to determine gaps in performance and recommends/executes improvement initiatives.
• Uses appropriate Lean, Six Sigma and data analysis tools to analyze quantitative and qualitative to provide actionable information for data-driven decisions.
• Champions use and functionality of BPLM, Infinity and CTT and other related systems and ensures accuracy through a validation strategy that identifies all critical inputs and controls them properly to achieve optimal performance of critical process and outputs.
• Supports the Food Safety Systems per the system requirements and per the direction of the plant Quality department.
• Supports the operation of the plant maintenance system and processes per the direction of the Production department.
• Supports audits and trials through data and process analysis, documenting findings and preparing/delivering reports.
• Conducts training, when appropriate, on engineering concepts and tools, including but not limited to process control and capability, root causes analysis, basic quality and problem-solving tools.
• Partners with plant departments to establish effective communication processes to equally disseminate critical information across all departments, shifts and crews.
• Assists in mapping and documenting complex business processes to support process improvement efforts.
• Assists with the deployment of approved and assigned best practices and confirms / reports local impacts.

Position Requirement & Competencies:

• Broad training in a related field usually acquired through college or work-related experience; math/science/engineering or information management degree

• Job related experience for 4 year(s) minimum
• Must be able to prioritize multiple projects, perform complex tasks, organize and follow through consistently and work under pressure to meet deadlines in a fast-paced environment
• Demonstrable skill in team building, leading, teaching, coaching and influencing leaders; ability to influence upward, across and down with skill, and without formal authority
• Change leadership experience; willing to take risks, challenge the status quo and work under ambiguous circumstances
• Application experience and skill (MS Office, MINITAB or similar statistical tools)
• Strong written and oral communication, facilitation and presentation skills (communicate at all levels of the organization)
• Excellent customer service skills
• Self-motivation with the ability to work independently
• Must be able to handle sensitive related and proprietary information in a confidential manner.
• Performs such individual assignments as management may direct
• Must maintain professional competence, ethical integrity, knowledge, and skills
• Must possess analytical thinking skill and knowledge of statistical process control and statistical analysis including designed experiments
• Working knowledge of the following areas:  business principles, legal practices, customer needs and expectations; statistical process control; statistical analysis; generally accepted managerial practices and procedures; quality assurance principles, practices, nomenclature, and procedures