At a Glance
- Tasks: Analyse complex people data and create impactful insights for global HR transformation.
- Company: Join a fast-growing global organisation with a focus on People and Culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of shaping a global HRIS and making a difference for thousands.
- Qualifications: Experience in people data analysis and strong communication skills.
- Other info: Exciting chance to influence a major transformation in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Location: London – Hybrid (2–3 days in office)
A fantastic opportunity has arisen for an experienced People Data Analyst to join a large, fast-growing global organisation undergoing major transformation across its People function. This role is perfect for someone who loves working with complex data, enjoys shaping systems and processes, and wants to play a central role in building a single, global HRIS and data ecosystem.
Reporting into the People Transformation Director, you’ll work across multiple regions, partnering with People & Culture teams, senior leaders and global stakeholders to improve data quality, drive insight, and support the rollout of a new HRIS and payroll platform.
What you’ll be doing:
- Managing, cleaning and analysing large, complex people datasets across multiple countries
- Creating meaningful dashboards, insights and reports that guide business decisions
- Working closely with HRIS teams to support system configuration, logic and backend updates
- Supporting the global rollout of a new HRIS and payroll system (Dayforce)
- Partnering with senior stakeholders, translating technical insights into clear, practical language
- Contributing to reward, benchmarking and people analytics activity
- Helping shape the long-term people data strategy and future AI-led initiatives
What we’re looking for:
- Proven experience as a People Data Analyst / HR Data Analyst
- Strong ability to work with raw people data, spot trends and build insights
- Experience with HRIS backend configuration (Dayforce experience highly desirable)
- Excellent communication skills, able to influence and educate non-technical stakeholders
- A balance of technical capability and strong people partnering skills
- Global experience or exposure to multi-region environments beneficial
- Curious, proactive and able to work autonomously in a fast-moving, evolving function
This is a rare opportunity to join a truly global People transformation programme, shaping systems, data and insight that will impact thousands of employees worldwide. If you’re analytical, people-centred and excited by large-scale transformation, we’d love to hear from you.
Human Resources Data Analyst employer: Career Moves Group I B Corp™
Contact Detail:
Career Moves Group I B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Human Resources Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method to structure your answers – it’ll help you shine!
✨Tip Number 3
Showcase your skills with a portfolio! Create a few case studies or dashboards that highlight your analytical prowess. This will give you an edge when discussing your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Human Resources Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of a People Data Analyst. Highlight your experience with complex datasets and HRIS systems, especially if you've worked with Dayforce. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and people analytics. Share specific examples of how you've driven insights in previous roles. We love a good story that showcases your impact!
Show Off Your Communication Skills: Since you'll be partnering with various stakeholders, it's crucial to demonstrate your ability to translate technical jargon into clear language. In your application, mention instances where you've successfully communicated complex data insights to non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity in our global People transformation programme!
How to prepare for a job interview at Career Moves Group I B Corp™
✨Know Your Data Inside Out
As a People Data Analyst, you'll be working with complex datasets. Make sure you brush up on your data analysis skills and be ready to discuss specific examples of how you've managed and cleaned large datasets in the past. This will show your technical capability and give you confidence during the interview.
✨Showcase Your Communication Skills
You'll need to translate technical insights into clear language for non-technical stakeholders. Prepare to share examples of how you've successfully communicated complex data findings in previous roles. This will demonstrate your ability to influence and educate others, which is crucial for this position.
✨Familiarise Yourself with HRIS Systems
Since the role involves supporting the rollout of a new HRIS (Dayforce), it’s essential to have a good understanding of HRIS systems. If you have experience with Dayforce, be ready to discuss it. If not, do some research on its functionalities and how it integrates with people data management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work autonomously. Think of scenarios where you've had to analyse data under pressure or collaborate with senior stakeholders. Practising these responses will help you articulate your thought process and showcase your proactive nature.