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# Quality Data Analytics Engineer Automotive

- **Company:** Mclaren
- **Location:** Woking, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Data Analytics, Tools for Reporting
- **Published:** August 14, 2026
- **Apply:** https://www.careerjet.co.uk/job/gb64e46ba74823aca9fbf029f0b1c3adb6/eaa

## About the Role

* Experience in quality, manufacturing, engineering or data analytics within any manufacturing environment.
 * Strong analytical and problem-solving skills, supported by knowledge of statistical methods and continuous improvement tools.
 * Hands-on experience with data analysis, visualisation and reporting tools such as Python, SQL, Power BI, Tableau or similar platforms.
 * Six Sigma capability and a passion for using data to drive measurable improvements.
 * A curious and innovative mindset, with enthusiasm for new technologies, AI and continuous learning.

## Description

Join McLaren Automotive's Quality Analysis team and play a key role in shaping how data, analytics and AI drive quality performance across the McLaren Production Centre. You'll work alongside experts across Quality, Manufacturing, Metrology and Digital functions to solve complex challenges, improve processes and influence strategic decision-making.
This is an opportunity to work at the forefront of automotive manufacturing, combining advanced analytics, continuous improvement and emerging technologies to deliver real business impact. You'll be at your best in an environment that supports curiosity, encourages fresh thinking and values those who challenge accepted ways of working. If you're motivated by learning, exploring new technologies and turning data into meaningful change, you'll find plenty of opportunities to make an impact.
What You'll Do

 * Turn complex manufacturing and quality data into meaningful insights that improve product quality, process performance and business outcomes.
 * Develop dashboards, reporting tools and automated analytics solutions that provide visibility of key quality metrics across the business.
 * Lead data-driven improvement initiatives using Six Sigma methodologies and advanced statistical techniques.
 * Apply AI, machine learning and predictive analytics to solve quality challenges and support future manufacturing innovation.
 * Collaborate with stakeholders across Quality, Engineering, Manufacturing and IT to deliver scalable solutions that drive continuous improvement.


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