Advanced Technology Quality Data Analyst (Hybrid)

RTX•East Hartford, CT

8d•$132,400 - $251,600•Hybrid

About The Position

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. Are you ready to work at the cutting edge of aerospace manufacturing and inspection? Join our team as an Advanced Technology Quality Data Analyst and play a pivotal role in transforming how quality data is utilized to drive design decisions and improve processes across operations, quality, and engineering. In this role, you will focus on connecting, mapping, and building integrations for quality data to create a streamlined flow of information that informs and enhances design decisions. You will also help define and implement the digital connectivity strategy for quality information, ensuring alignment with organizational goals and fostering innovation in aerospace manufacturing. This role is requiring travel up to 25%.

Requirements

Bachelor’s degree (or equivalent experience) with 10+ years of experience in Data Analytics, Quality, Manufacturing Engineering, Operations, or a related field; or a Master’s degree with 7+ years of relevant experience.
Demonstrated experience in data analysis, data mapping, and building digital systems connectivity.
Expertise in Solumina, SAP, Net Inspect and other platforms leveraged by Quality.
Strong understanding of quality systems and their integration with engineering and manufacturing processes.
Proficiency in data analysis tools and enterprise database systems.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
The ability to obtain and maintain a U.S. government issued security clearance is required.

Nice To Haves

Knowledge or experience in aerospace manufacturing and inspection processes.
Proficiency with tools such as QLIK, Power BI, or similar data visualization platforms.
Expertise in SQL, Python, or other programming languages for data analysis and integration.
Experience in digital transformation projects within manufacturing or engineering environments.
Strong organizational and project management skills to drive cross-functional initiatives.

Responsibilities

Develop and implement strategies to connect, map, and integrate quality data across operations, quality, and engineering functions. Ensure data accuracy and accessibility to support informed design and decision-making.
Collaborate with cross-functional teams to define and execute a digital connectivity strategy for quality information, aligning with the organization’s broader digital transformation goals.
Leverage data analytics tools and techniques to analyze quality data, identify trends, and provide actionable insights to improve product design and manufacturing processes.
Partner with engineering, quality, and operations teams to ensure quality data is effectively utilized to inform design decisions and enhance product performance.
Drive the development and implementation of processes and tools to continuously improve the collection, analysis, and application of quality data across the organization.