Data Analytics Quality Engineer

Data Analytics Quality Engineer

Company:

The Boeing Company

Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Quality Engineer - Data Analytics (Associate or Mid-Level) to join our team located in Berkeley, MO!

The Data Analytics Quality Engineer works with cross functional teams, build and program processes, and collaborates with stakeholders and management.

The activities will include, but are not limited to Collective Analysis, Defect Mapping, Value Stream Team Support, Root Cause Corrective Action, Process Monitoring. This position will require strong knowledge and use of data analysis.

This position requires a Bachelor of Science from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry

 

·       Engineering

·       Computer Science

·       Engineering Technology (including Manufacturing Technology)

·       Mathematics

·       Physics

·       Chemistry

Position Responsibilities:

Level 2

• Research contractual and Boeing Quality Management System requirements for applicability to specific proposals and program processes and documentation.
• Develop sections of quality metrics, design and production certification plans to ensure compliance with contractual, Company and regulatory requirements.
• Analyzes capability assessments to support supplier selection activities.
• Participates in various reviews to ensure quality attributes are incorporated into product designs.
• Perform data analysis to ensure manufacturing and test readiness.
• Provides material review dispositions for non-conformances.
• Analyzes non-conformance trends to evaluate effectiveness of corrective actions.
• Compiles performance reports and other statistical data to ensure specified processes capability levels are achieved.
• Works under general supervision.

Level 3

• Represents Quality function on team activities to integrate contractual and Boeing Quality Management System requirements into all aspects of proposals and program processes and documentation.
• Provides Quality interpretation of requirements.
• Develops quality metrics, design and production certification plans for small programs to ensure compliance with contractual, Company and regulatory requirements.
• Conducts capability assessments and process validations to support supplier selection activities.
• Participates in various reviews to ensure quality attributes are incorporated into product designs.
• Performs analysis, tests and process audits to ensure manufacturing and test readiness. Provides material review dispositions for non-conformances.
• Analyzes non-conformance trends to evaluate effectiveness of corrective actions. Recommends corrective actions to address non-conformances.
• Performs bench-marking and other forms of analysis to ensure specified processes capability levels are achieved.
• Works under general direction.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the listed location.

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
• 1+ year of experience in Aerospace, Manufacturing, Quality, or experience in a regulated industry
• 1+ year of experience collecting, organizing and analyzing data; summarizing findings; and developing conclusions
• Experience in business intelligence or data warehousing development
• Software programming skills and experience of programming languages such as R, Python, MATLAB, Java, C, or C++
• Experience in applying machine learning approaches to large data sets

Preferred Qualifications (Desired Skills/Experience):

• 1+ year of experience working in a Quality Engineering job role
• Experience developing root cause corrective actions
• Certified in Six Sigma / Lean Principles
• Vario