Us And Help Shape The Future Of Aerospace
Aerospace
QualityEngineer,DataAnalytics&ProcessImprovement
“Quality Engineer, Data Analytics & Process Improvement at Us And Help Shape The Future Of Aerospace. Skills: Data Analytics, Power BI, Data Science, Quality Engineering, Process Improvement. Facilitate and participate in process reviews to support shop capability and cost analysis.. Develop and maintain Power BI dashboards to monitor and visualize quality metrics, trends, and performance across product lines.”
What You'll Achieve.
Support decision-making, process improvement, and customer satisfaction.; Enhance operational performance in alignment with business metrics (Cost, Quality, Delivery, and EH&S).
Industry & Context.
Analyze quality data to identify patterns, root causes of non-conformances, and areas for improvement.
U. S. citizenship is required., Onsite role.
What They're Looking For.
Must Have
Bachelor’s Degree in Engineering, Data Science, Statistics, or related field with 2 or more years of experience in a manufacturing operations or similar environment OR a Master's degree and 1 or more year of experience OR completion of the Pratt & Whitney Quality Engineering Development Program., Hands-on experience in quality engineering and data analysis., Familiarity with AS9100 standards and Pratt & Whitney’s Quality Requirements., Advanced proficiency in Microsoft Office Suite, particularly Excel., Experience with SAP, Solumina, and Power BI for data tracking, reporting, and visualization., ability to interpret and clearly communicate complex data and quality requirements to stakeholders., Knowledge of statistical methods, data modeling, and machine learning applications in manufacturing., Proficiency in data science tools such as Python, R, or SQL., Demonstrated ability to automate data collection, cleaning, and reporting processes to support continuous improvement initiatives.
What You'll Do.
Facilitate and participate in process reviews to support shop capability and cost analysis.
Develop and maintain Power BI dashboards to monitor and visualize quality metrics
and performance across product lines.
Analyze quality data to identify patterns
root causes of non-conformances
and areas for improvement using data science tools and techniques.
Support process certification projects
utilizing data-driven insights to implement process improvements.
Evaluate procedures and processes to ensure compliance with AS9100 standards and Pratt & Whitney quality requirements.
Collaborate with cross-functional teams to investigate non-conformances
determine root causes
and implement corrective actions.
Monitor and measure the effectiveness of corrective actions using statistical methods and predictive analytics.
Apply continuous improvement tools and methodologies (e. g.
Lean) to enhance operational performance in alignment with business metrics (Cost
Demonstrate a commitment to environmental
and safety (EH&S) programs and initiatives.
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to investigate non-conformances, determine root causes, and implement corrective actions.
Communication Scope
Ability to interpret and clearly communicate complex data and quality requirements to stakeholders.
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