Job Description

This position provides statistical information for quality improvement by identifying testing methods and samples. Main Responsibilities: - Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes. - Establishes statistical confidence by identifying sample size and acceptable error; determining levels of confidence. - Develops experiments by applying full and fractional factorial techniques. - Develops sampling plans by applying attribute, variable, and sequential sampling methods. - Analyzes data by completing hypothesis, normal distribution, and process capability analysis tests. - Prepares reports by collecting, analyzing, and summarizing data; making recommendations. - Contributes to team effort by accomplishing related results as needed.

Requirements

- Education Level: BSc in Industrial Engineering or Industrial Management. - Experience: At least 2 years of experience in quality management systems. - Foreign Language Knowledge: English. - Computer Knowledge: High level of competence with MS Office and engineering drawing software (Auto Cad or CATIA etc.) Other skills: - Excellent analytical skills. - Excellent communication and presentation skills. - Excellent learning and team working skills. Working principle: - Travel: Routine travel almost internal. - Working hours: Saturday to Wednesday, 7 AM- 3:45 pm.

Employment Type

  • Full Time

Details

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