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Sr. Associate, Quality Engineer - Data Analyst

Camden, Arkansas

Job ID 21473
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L3Harris se fait un devoir de recruter et de former des talents performants qui sont passionnés par ce qu’ils font. Nos employés sont liés par un engagement commun envers leur croissance professionnelle et la mission de nos clients. L3Harris offre un environnement inclusif et engageant conçu pour responsabiliser les employés et encourager un équilibre entre le travail et la vie personnelle. Notre culture repose sur l’importance que nous accordons à nos valeurs, notre dévouement envers nos collectivités et notre engagement envers l’excellence dans tout ce que nous faisons. L3Harris Technologies est l’entreprise perturbatrice de confiance dans l’industrie de la défense. Ayant toujours à l’esprit les besoins essentiels de nos clients, nos employés offrent des solutions technologiques de bout en bout reliant les domaines de l’espace, de l’air, de la terre, de la mer et des cyberdomaines, dans l’intérêt de la sécurité nationale.

Job Title: Sr. Associate, Quality Engineer - Data Analyst

Job ID: 21473

Job Location: Camden, AR, On-Site

Job Schedule: 4/10, Employees work 10 hours per day, 4 days a week 

Job Description:

The Aerojet Rocketdyne Segment of L3Harris Technologies is seeking a Sr. Associate, Quality Engineer - Data Analyst to join our growing facility in Camden, Arkansas.  TIn this role you will harness advanced data mining and analytical techniques within a multi-system environment to provide thorough reporting and dynamic/interactive platforms for viewing and analysis. Your specialized skills will be essential in extracting, analyzing, and presenting quality data that drives strategic decision-making and continuous improvement.

Essential Functions:

  • Collaborate effectively within a team setting, contributing to a cooperative work environment through excellent communication, mutual support, and shared responsibility in achieving quality objectives.  Strong initiative, work ethic, attention to detail, and integrity is a must. 

  • Utilize advanced data mining tools to import, clean, explore, unionize quality data from multiple systems, ensuring comprehensive analysis.

  • Analyze large datasets to identify trends, anomalies, and opportunities for quality enhancement.

  • Develop, troubleshoot and maintain sophisticated reporting mechanisms, including interactive dashboards that provide real-time insights into quality metrics.

  • Collaborate with IT and other departments to ensure accurate data collection, integration, and retrieval across various platforms.

  • Implement best practices in data visualization to make complex data more accessible and understandable.

  • Train and support end-users in effectively utilizing reporting tools and dashboards to drive quality-related decisions.

  • Continuously improve data analysis and reporting processes to keep pace with evolving business needs and technological advancements.

  • Ensure data integrity, validation, and compliance with industry standards and regulatory requirements in all reporting outputs.

  • Ability to obtain a US Secret Security Clearance.

Qualificatons: 

  • Bachelor’s Degree and minimum 2 years of prior relevant engineering or data analysis experience. Graduate Degree and a minimum of 0 to 2 years of prior related engineering or data analysis experience.  In lieu of a degree, minimum of 6 years of prior engineering or data analysis related experience.

  • 1+ year of statistical or quality coursework or relevant on the job experience including SPC, Six Sigma, Lean manufacturing, statistics, manufacturing concepts.

  • 1+ years experience with Microsoft Excel 365, proficient to generate reports and analyze data.

Preferred Additional Skills:

  • Aerospace and defense quality experience. 

  • Expertise in programming languages like SQL, and Python for complex data manipulation, statistical analysis and automation.

  • Proficient in data visualization and reporting tool Power BI to create insightful dashboards.

  • Skilled in managing large datasets, with a strong grasp of database and data warehousing concepts.

  • Adept at applying machine learning algorithms and data mining techniques to extract meaningful patterns.

  • Excellent communication skills for articulating data-driven insights to technical and non-technical audiences.

  • Proficient with advanced analytics tools and software, including Minitab, SAS or MATLAB, for sophisticated data modeling and analysis.

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