At a Glance
- Tasks: Lead data initiatives for People Analytics, transforming team needs into scalable data solutions.
- Company: Join McLaren Racing, a leader in innovation and technology.
- Benefits: Enjoy hybrid working, private healthcare, and a vibrant campus with great facilities.
- Other info: Be part of a diverse culture that values inclusion and offers excellent career growth.
- Why this job: Make a real impact on workforce insights while working in a dynamic environment.
- Qualifications: Experience with HR data, advanced SQL skills, and strong analytics capabilities required.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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.
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: McLaren Racing
At McLaren Racing, we pride ourselves on being an exceptional employer, offering a dynamic work environment at our iconic McLaren Technology Centre near Woking. Our commitment to diversity, equity, and inclusion fosters a culture that values every individual, while our comprehensive benefits package, including private healthcare and generous pension contributions, ensures our employees are well taken care of. With opportunities for hybrid working and access to state-of-the-art facilities, we empower our team to thrive both personally and professionally.
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 people in your industry, especially those who work at McLaren or similar companies. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Prepare for the interview by diving deep into People Analytics. Brush up on your SQL and data visualisation skills, and be ready to discuss how you've tackled complex datasets in the past.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to share examples of how you've used data to drive decisions or improve processes. This will highlight your ability to translate business needs into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
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 to highlight your experience with HR data and analytics. We want to see how your skills align with the role, so don’t hold back on showcasing your advanced SQL and Power Query expertise!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving Workday Prism or data visualisation tools like Power BI, make sure to mention them. We love seeing real examples of how you've tackled complex datasets and delivered insights.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and how they relate to the responsibilities outlined in the job description. We appreciate clarity just as much as you do!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at McLaren Racing
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of People data, especially how it relates to HR processes. Brush up on your SQL and Power Query skills, as you'll likely be asked to demonstrate your ability to work with complex datasets during the interview.
✨Understand the Role of Workday
Familiarise yourself with Workday HCM reporting and Prism Analytics. Be prepared to discuss how you would design and maintain data models that support workforce metrics, as this is a key part of the role.
✨Showcase Your Analytical Skills
Be ready to talk about your experience with data visualisation tools like Power BI and how you've translated business questions into actionable insights. Bring examples of dashboards or reports you've created to illustrate your capabilities.
✨Emphasise Data Governance Knowledge
Since this role involves embedding privacy-by-design principles, make sure you can discuss your understanding of data governance and security. Prepare to explain how you’ve implemented data quality controls in past roles to ensure reliability and trust in outputs.
