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Proficient in the use of computer programs such as office applications and statistical analysis software e.g., PowerPoint, Excel, Word, Minitab, etc. Analytical and capable of performing analysis for any type of information/data using descriptive and enumerative statistical methods.
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Intermediate or higher user of MS Office and statistical analysis software such as Minitab. The position will report to the Process Engineering Manager and may be assigned to specific projects and/or responsibility for all aspects of one or more production processes including the assigned technicians and/or operators.
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Proficient in the use of process mapping, data analysis, and statistical tools (PowerBI, Tableau, BigQuery, Minitab) Co-Op/Internship in Manufacturing, Supply Chain, or Distribution with experience applying basic Lean/Continuous Improvement Tools, Possess applied knowledge of a functioning Quality Management System elements including Statistical Process Control, FMEA, Quality KPIs, etc.
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Statistical Analysis (MiniTab, JMP, SAS, or similar statistical software/language) Computational Fluid Dynamics, Finite Element Analysis, Discrete Element Methods, Discrete Event Simulations, Process Modelling, Molecular Dynamics or Reaction Kinetics Modelling, Artificial intelligence, Data Modelling, Data Wrangling, Data Visualization, or others.
InternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Working knowledge of statistical analysis software tools, Minitab preferred. Possess a Six Sigma Black Belt Certification. Working knowledge of statistical analysis software tools, Minitab preferred.
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Experience with statistical software (Minitab) and ERP (Epicor) system is a plus. Collect and analyze data and apply SPC (Statistical Process Controls) across different product lines.
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Working knowledge of statistical software (Minitab or Advanced MS Excel) a plus. Working knowledge of statistical software (Minitab or Advanced MS Excel) a plus. Working knowledge of continuous improvement tools such as Six Sigma, Lean Manufacturing and Shainin Red-X.
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Requires experience in Minitab for statistical analysis. + Requires demonstrated knowledge of APQP, inspection equipment and techniques, root cause analysis, capability studies, statistical distributions, machining and assembly processes, and GD&T.
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Perform statistical analysis using standard software such as Minitab. Use statistical analysis and risk management techniques. This position is for a Quality Engineer, reporting to the Sr. Quality Manager, with primary responsibility for Process Validation activities in manufacturing.
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The individual must be proficient in Microsoft Office Suite including Excel, and PowerPoint as well as statistical analysis software, such as Minitab. Six Sigma black belt or green belt certification or training preferred.
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Knowledge in statistical methods and programs (SPC/DOE/MiniTab) Run trials on the pilot and production lines using solvent, emulsion, hot melt, and rubber-based pressure sensitive adhesives and coatings.
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Certified Quality Engineer (CQE) Six Sigma Certification experience preferred. Participate in Design Transfer/Change Control projects as the Quality Assurance Core Team Lead. Experience with problem-solving techniques and CAPA investigations.
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Proficient with Microsoft Excel, including the use of pivot tables. Strong knowledge of Risk Management and Design Controls/Design Transfer/Change Control. 5-8 years of successful experience in medical device and quality engineering.
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Coursework or work experience in model prototyping through use of statistical package(s) including SAS or SPSS, Minitab and/or BI tools. Statistics or other related quantitative discipline involving quantitative analysis and application of advanced statistical methods.
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Must know how to use Minitab or other statistical software. Recommend and provide statistical support and expertise and analytical problem solving for product development and manufacturing.
$105,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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