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Possess a deep Quality Engineering toolbox including Design of Experiments, Process Capability Studies, Failure Mode and Effects Analysis, Statistical Process Control, Design for Six Sigma, Industrial Statistical Methods, Six Sigma and/or Lean Manufacturing.
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Knowledge of Lean methodology/industry relevant certifications (i.e. LEAN, CPIM, APICS, Six Sigma) Strong analytical, statistical, and data-driven mind-set; detail-oriented work style, focused on delivering KPI's.
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Experience with Lean Six Sigma. Lean Six Sigma Experience. Experience with Statistical tools and Lean Manufacturing principles. Uses Lean Tools, Statistical Techniques and analytical methods to achieve effective problem solving, root cause discovery and corrective action.
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Compiles information and uses various improvement tools (Lean, Six Sigma, etc) and statistical techniques to assess and determine root cause of problems. Compiles information and uses various improvement tools (Lean, Six Sigma, etc) and statistical techniques to assess and determine root cause of problems.
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Experience using and/or implementing lean manufacturing principles and using Lean Sigma/Six Sigma methodology to improve quality. - Knowledge of basic quality tools and techniques such as APQP, Core Quality Tools, Statistical Process Control methods and Process Capability Index (CPK.
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Uses Lean Six Sigma methodology to support Lean initiatives, improve processes and reduce defects. Demonstrated problem solver with direct experience coaching, teaching, and applying lean sigma, six sigma and/or lean manufacturing techniques.
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Six Sigma Black Belt certification. 3+ years’ experience with Root Cause Analysis Tools, Lean Manufacturing, Statistical Process Control (SPC) and Lifecycle Management (LCM) experience.
$105,000.03 - $154,000.05 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Lean, Six Sigma, or similar CI methods. Familiar with GMP’s, QC methods, instrumentation/test measures, and working knowledge of Statistical Quality Control (SQC), with prior application.
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Certification(s) through American Society for Quality (ASQ) preferred. We’re looking for a strong customer advocate and strong people leader, with a background in quality management and process control.
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Knowledge and application of Lean Six Sigma tools such as: statistical tools, root cause analysis, failure mode & effect analysis, and statistics. Training in the predominate disciplines: substation maintenance for electrical, vibration institute level 1 or 2 for HVAC/R, fire protection, and building automation system certification.
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Lean, Six Sigma, or Kaizen experience. Responsible for Continuous Improvements of the BioLegend Quality Management System including: Management Review, Change and Document Control, Records Management, Validations, Audit and Inspection Management, Corrective and Preventive Action Management, Complaints, Failure Analysis, Risk Management per total product life cycle, Nonconformance Management, Distribution Quality, Supplier Quality, and Manufacturing Quality.
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Promote use of process focused continuous improvement tools such as Lean, Six Sigma, Mistake proofing(Poka-Yoke) , Measurement system analysis (MSA) and Failure mode and effect analysis (FMEA.
$135,552 - $190,004 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using 3D CAD and/or Solid works drafting tools; hands-on experience and understanding of APQP tools, processes, and reporting requirements, statistical process controls and failure analysis tools and techniques; Lean and Six Sigma experience.
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Familiarity with Six Sigma/Lean/statistical tools is preferred as is Black Belt certification. Ability to multi-task, strong time management skills, strong analytical skills, and experience using statistical tools.
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The equipment we make manages natural resources, connects people and feeds and fuels communities. Bachelor's degree in Engineering or related technical field with minimum seven years of experience in Quality Management, Product Support, Engineering, or Manufacturing.
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