Job Description
Red Bull Powertrains has an exciting opportunity to join our technical team as we transition from building our team’s first Power Units to refining them into a race-ready package, all aimed at delivering the most competitive car on the 2026 Formula One grid. We are seeking a Strategic PU Data Analyst (Engineering) to join our Data Strategy & Insights department and drive the future of motorsport innovation. You will be based at our cutting-edge engineering and manufacturing facility in Milton Keynes, designed to produce high-performance Power Units for the 2026 engine regulations.
As a key part of the team, you will be responsible for developing and analysing power unit (PU) data to extract insights for supporting performance, reliability and operational decision making. You will work closely with engineering and operational teams to uncover insight from data collected during testing, practice sessions and race events. Your contributions will support reactive fault analytics and proactive strategic analysis. Additionally, you will contribute to the team’s reporting and data quality capability, ensuring that insights are not only sharp but consistently accessible, accurate and trusted across the business.
Key Responsibilities
* Extract actionable insights from PU and reliability datasets to support performance and durability.
* Partner with engineering stakeholders to identify performance and reliability risks and opportunities by analysing internal and external datasets.
* Investigate strategic questions around reliability trade-offs, component life or in-season performance trends.
* Rapidly respond to urgent reliability or performance faults, identifying root causes and proposing data-driven solutions.
* Deliver clear, actionable insights to senior stakeholders through visualisation and presentation tools.
* Collaborate on the creation of new data sets or tools that improve decision making.
* Support the development and maintenance of automated dashboards and reporting tools that underpin PU analysis.
* Contribute to the definition and monitoring of KPIs across the PU function.
* Implement and evolve data quality checks and validation routines to ensure accuracy and consistency in critical datasets.
* Document key datasets, flows and definitions to promote shared understanding and consistent usage.
* Proactively explore and test new analytical methods for PU insight generation.
* Stay up to date with the latest advancements in power unit technology, data analysis techniques and industry best practices.
Qualifications
* A degree with a 2:1 minimum in a relevant STEM subject or related field.
* Proficient understanding of power unit systems, engine performance metrics and F1-specific engineering considerations.
* Demonstrated ability to apply statistical thinking and data-driven approaches to complex, real-world problems.
* Experience working with large datasets and utilising data analysis tools such as Python, SQL, MATLAB or similar (including data science/statistics libraries).
* Proven experience in data visualisation techniques and tools such as Tableau, Power BI or similar.
* Familiarity with data quality principles and experience implementing validation routines.
* Excellent problem-solving skills and ability to derive actionable insights from complex data.
* Strong attention to detail and ability to work under pressure in a fast-paced racing environment.
* Effective communication and presentation skills, with the ability to convey technical information to both technical and non-technical stakeholders.
* Passion for motorsports, Formula One racing and a deep interest in power unit technology.
Benefits
* Bonuses
* Private healthcare
* A pension scheme
* -site gym
* Free daily food allowance
* And many more!
At Red Bull Powertrains, we push the limits, fight for every victory and get things done with relentless focus. Joining us means being part of a high-performance team that thrives on collaboration, trust and ambition. We celebrate wins, learn from challenges and take our work seriously—but not ourselves.
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