At a Glance
- Tasks: Lead People data initiatives, transforming analytics into actionable insights for the team.
- Company: Join McLaren, a pioneering racing team setting high performance standards.
- Benefits: Hybrid working, private healthcare, gym access, and generous pension contributions.
- Other info: Work at the iconic McLaren Technology Centre with excellent career growth opportunities.
- Why this job: Be part of racing history while driving data innovation in a dynamic environment.
- Qualifications: Experience with HR data, advanced SQL skills, and strong analytics capabilities.
The predicted salary is between 60000 - 80000 £ per year.
At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching... And measure your progress in milliseconds... And play your part in racing history... You belong here. High performance starts with you.
Purpose of the role:
- Part of our People Technology & Data team, acting as the data owner for People Analytics, translating People Team needs into scalable data assets.
- Partnering with our Workday Product Owner to align data structures, effective dating, security roles, and releases with downstream reporting and analytics requirements.
- Empowering our People Team with consistent metric definitions and self-serve reporting layers, reducing manual reporting and improving comparability.
- Acting as a key interface to Data Governance/Privacy/Security, embedding controls, auditability, and access management appropriate for sensitive People data.
- Collaborating with multiple different stakeholders across Finance, Enterprise Data & IT where needed to reconcile headcount and cost views, explore integration opportunities with non-HR sources, and align with broader analytics standards.
- Architecture decisions and roadmap priorities are set in partnership with the Head of People Technology & Data. This role is accountable for delivery and continuous improvement within that direction.
Principal Accountabilities:
- Owning end-to-end People data pipelines into Workday Prism, spanning data ingestion, transformation, and orchestration.
- Designing and maintaining curated data models (including legacy data) that support consistent, reusable workforce metrics and analysis-ready datasets.
- Enabling dashboards and reporting through high-quality data sets and clear metric definitions, translating business questions into usable, self-serve outputs.
- Optimising and evolving key workforce data and insights packs used by leadership.
- Embedding privacy-by-design and data governance principles to meet policy and regulatory requirements.
- Creating clear documentation (data dictionary, metric catalogue, lineage) to enable confident and consistent data use.
- Using analytics (and where applicable data science techniques) to measure the effectiveness of People initiatives and deliver actionable insights.
- Implementing data quality controls and monitoring to ensure reliability, auditability, and trust in outputs.
- Developing foundational data structures to support the adoption of AI-driven analytics tools.
- Supporting ad-hoc data requests and regulatory reporting where needed.
Knowledge, Skills and Experience:
- Experience working with HR Data, strategy and processes.
- Advanced SQL and Power Query skills, and strong experience working with large, complex datasets (ideally People/workforce data).
- Advanced Workday HCM reporting.
- Hands-on experience Workday Prism Analytics or equivalent data warehouse, including data modelling and building analysis-ready datasets.
- Proven experience managing ETL/ELT pipelines.
- Strong analytics and data visualisation capability (e.g., Power BI and Workday dashboards; Excel for prototyping), with an ability to translate business questions into clear metrics and outputs.
- Applied data science experience: statistical analysis, experimentation/measurement, forecasting and/or predictive modelling.
- Strong attention to detail and commitment to data integrity, privacy and security, with practical knowledge of access controls and handling sensitive People data.
What can McLaren offer?
We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace.
McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Here at McLaren, we offer hybrid working with 3 days a week based in the MTC. Our state-of-the-art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
Lead, People Data & Insights Engineer in Woking employer: Motorsport Network
At McLaren, we pride ourselves on being an exceptional employer, fostering a culture of high performance and innovation. Our state-of-the-art McLaren Technology Centre near Woking not only provides a vibrant work environment with excellent facilities but also promotes hybrid working to ensure a healthy work-life balance. We are committed to employee growth through continuous learning opportunities and a diverse, inclusive workplace that values every team member's contribution.
StudySmarter Expert Advice🤫
We think this is how you could land Lead, People Data & Insights Engineer in Woking
✨Tip Number 1
Network like a pro! Reach out to current or former employees at McLaren on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the People Data & Insights team.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data visualisation skills. Be ready to discuss how you've tackled complex datasets in the past, especially in HR contexts. Show us you can translate business needs into actionable insights!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your collaboration experience too! McLaren values teamwork, so share examples of how you've worked with different stakeholders to achieve common goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the McLaren family. Let’s get you racing towards that dream job!
We think you need these skills to ace Lead, People Data & Insights Engineer in Woking
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead, People Data & Insights Engineer role. Highlight your experience with HR data and analytics, and show us how your skills align with our mission at McLaren.
Showcase Your Technical Skills:We want to see your advanced SQL and Power Query skills in action! Include specific examples of how you've worked with large datasets and any hands-on experience you have with Workday or similar tools.
Emphasise Collaboration:This role involves working with various stakeholders, so let us know about your experience collaborating across teams. Share examples of how you've partnered with others to achieve common goals in data management and reporting.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at McLaren.
How to prepare for a job interview at Motorsport Network
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of People data, especially if it relates to HR processes. Brush up on your SQL and Power Query skills, and be ready to discuss how you've worked with large datasets in the past. This will show that you can handle the technical demands of the role.
✨Understand McLaren's Culture
Familiarise yourself with McLaren’s mission and values. They’re all about high performance and teamwork, so think about how your personal values align with theirs. Be prepared to share examples of how you’ve contributed to a team or driven performance in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data governance or analytics. Think through scenarios where you had to ensure data integrity or manage sensitive information. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Analytical Skills
Be ready to discuss your experience with analytics tools like Power BI or Workday dashboards. Prepare to explain how you’ve translated business questions into actionable insights. Highlight any experience you have with data science techniques, as this will set you apart from other candidates.