The Quality Analyst will manage global projects related to business intelligence, data analytics, and quality IT tools, including updating quality metrics, generating ad-hoc queries, and assisting in product variability reduction through statistical analysis. Preferred qualifications include experience with business intelligence tools like Power BI/Tableau, data analytics, manufacturing/quality, and programming languages such as SQL, R, or Python.
Client Details
A global leader in advanced composite materials, specializing in providing high-performance solutions for industries such as aerospace, automotive, and industrial applications. Known for its innovation, they focus on developing lightweight, high-strength materials to improve the efficiency and sustainability of its clients' products. The company is recognized for its commitment to quality, safety, and environmental responsibility, often collaborating with leading manufacturers to push the boundaries of material science. As a client, Hexcel would likely value precision, quality, and cutting-edge technology in its partnerships.
Description
The key responsibilities for the Quality Analyst role include managing global projects related to business intelligence, data analytics, and quality IT tools for the Quality team. This involves updating and reporting on quality metrics, generating ad-hoc queries, and optimizing query performance. The role also includes assisting in reducing product variability through data mining and advanced statistical analysis, developing dashboards for statistical quality data, and participating in auditing quality processes. Additionally, the position requires proficiency with business intelligence tools (like Power BI/Tableau), advanced Excel, and ideally knowledge of programming languages such as SQL, R, or Python.
Profile
A successful candidate for this Quality Analyst role would be highly analytical, with strong experience in data analytics, business intelligence tools (such as Power BI/Tableau), and advanced Excel. They would have a solid understanding of quality processes, ideally with 2+ years of experience in manufacturing or quality settings. Proficiency in SQL, R, or Python would be an asset, as well as experience with statistical analysis and data mining tools to assist in product variability reduction. The ideal candidate would be detail-oriented, able to manage global projects efficiently, and capable of optimizing query performance while providing valuable insights through data. Strong communication and reporting skills are also important for updating quality metrics and participating in audits.
Job Offer
Immediate start date, hybrid schedule in Salt Lake City Utah, and a 2 round interview process.
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