Advanced Technology Quality Data Analyst (Hybrid)

Pratt & Whitney; East Hartford (CT); Hybrid; USD 132,400 - 251,600; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) match

Flexible work schedules

Parental leave

Job summary

Pratt & Whitney is looking for an Advanced Technology Quality Data Analyst in East Hartford, Connecticut. This role involves transforming the utilization of quality data to enhance design decisions and improve manufacturing processes. Candidates require strong data analysis skills and 10+ years of experience.

The position offers a hybrid work environment and includes a substantial salary range of $132,400 to $251,600, along with comprehensive benefits.

Qualifications

• 10+ years of experience in Data Analytics, Quality, or Manufacturing Engineering.
• Demonstrated experience in data analysis and mapping.
• Expertise in data visualization platforms.

Responsibilities

• Develop and implement data integration strategies.
• Collaborate to define a digital connectivity strategy.
• Leverage data analytics to improve processes.

Skills

Data Analysis

Data Mapping

Digital Systems Connectivity

Quality Systems Knowledge

Education

Bachelor’s degree in related field

Master’s degree in related field

Tools

Solumina

SAP

Net Inspect

QLIK

Power BI

SQL

Python

Job description

Location

US-CT-EAST HARTFORD-RTRC R ~ 411 Silver Ln ~ RTRC R

Date Posted

2026-06-24

Country

United States of America

Position Role Type

Hybrid

U.S. Citizenship and Security Clearance Requirements

The ability to obtain and maintain a U.S. government‑issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Security Clearance Type

DoD Clearance: Secret

Security Clearance Status

Active and existing security clearance required after day 1.

Job Overview

We are seeking an Advanced Technology Quality Data Analyst to transform how quality data is utilized to drive design decisions and improve processes across operations, quality, and engineering. The role involves building integrations for quality data, implementing digital connectivity strategies, and leveraging analytics to enhance product design and manufacturing. The position requires up to 25% travel.

What You Will Do

• Data Integration and Connectivity: 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.
• Digital Connectivity Strategy: 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.
• Data Analytics and Insights: Leverage data analytics tools and techniques to analyze quality data, identify trends, and provide actionable insights to improve product design and manufacturing processes.
• Collaboration and Communication: Partner with engineering, quality, and operations teams to ensure quality data is effectively utilized to inform design decisions and enhance product performance.
• Continuous Improvement: Drive development and implementation of processes and tools to continuously improve the collection, analysis, and application of quality data across the organization.

What You Will Learn

• Data‑Driven Design: Gain expertise in leveraging quality data to influence and optimize design decisions for aerospace components.
• Digital Transformation: Understand and contribute to the development of digital connectivity strategies that revolutionize quality management in aerospace manufacturing.
• Collaborative Problem Solving: Develop skills in working across engineering, quality, and operations teams to solve complex challenges and implement innovative solutions.
• Advanced Data Analytics: Enhance your ability to use advanced analytics tools to extract meaningful insights from complex datasets.

Qualifications You Must Have

• 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.

Qualifications We Prefer

• 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.

Role Type and Work Environment

Hybrid: Employees will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. Candidates will learn more about role type and current site status during the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

Compensation and Benefits

Salary range: 132,400 USD - 251,600 USD. Benefits may include medical, dental, vision, life insurance, short‑term disability, long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off and holidays. Specific benefits depend on the business unit and collective bargaining status.

Legal and EEO Statement

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.