At a Glance
- Tasks: Lead the development of reward analytics and transform data into actionable insights.
- Company: Dynamic organisation focused on HR, Reward, and Finance with a commitment to diversity.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team and enhance your career in a fast-paced environment.
- Why this job: Make a real impact by driving data-driven decisions in a high-visibility role.
- Qualifications: Experience in HR analytics, strong analytical skills, and dashboard building expertise.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for an HR Data Analytics Manager to lead the development of a best-in-class reward analytics capability, transforming fragmented reporting into clear, insight-driven outputs that support senior decision‑making. You’ll design dashboards, build modelling tools, and deliver actionable insights across pay reviews, budgeting, pay compression, and strategic reward initiatives. This role sits at the intersection of HR, Reward, and Finance, with high visibility and impact. The introduction of our integrated HR system, Dayforce, enables streamlined access to core HR, payroll, time & attendance, recruitment and wider talent‑management data. You will play a key role in harnessing this capability, ensuring data integrity, improving analytics maturity and advancing our ability to deliver meaningful, actionable people insights across the organisation.
Key Responsibilities
- Build and deliver reward analytics dashboards and modelling tools
- Provide insights to support pay cycles, budgeting, and strategic decisions
- Translate complex data into clear narratives for senior stakeholders
- Ensure data quality, governance, and reporting integrity
- Enhance Dayforce reporting and drive analytics maturity
- Partner with HR, Reward, Finance, and leadership teams
About You
- Experience in HR MI, reporting, or people analytics, with strong analytical skills and the ability to work with complex datasets
- Proven track record of building dashboards within HCM systems and ensuring high standards of data quality and governance
- Ideally, experience with Dayforce, Power BI, or SSAS, alongside exposure to HCM implementations
- Experience working in large or complex organisations, with knowledge of reward programmes (pay, bonus, equity)
We champion diversity and equality at every turn.
HR Data Analytics Manager in High Wycombe employer: Biffa Waste Services
Biffa is an excellent employer for LGV 2 Sweeper Drivers, offering a supportive work culture that values teamwork, fairness, and respect. With comprehensive on-the-job training, access to exclusive discounts through Biffa Perkz, and a commitment to diversity and inclusion, employees can thrive in a role that not only contributes to the local environment but also fosters personal and professional growth. Join us in making a meaningful impact while enjoying a rewarding career in Abingdon.
StudySmarter Expert Advice🤫
We think this is how you could land HR Data Analytics Manager in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to folks in HR and analytics on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dashboards and modelling tools. We want to see how you’ve transformed data into actionable insights. This is your chance to shine and demonstrate your analytical prowess!
✨Tip Number 3
Prepare for those interviews! Research the company’s current reward strategies and think about how you can enhance their analytics maturity. We’re talking about real insights that can drive decision-making, so come ready with ideas!
✨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, we love seeing candidates who are proactive and engaged with our hiring process.
We think you need these skills to ace HR Data Analytics Manager in High Wycombe
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the HR Data Analytics Manager role. Highlight your experience with dashboards, data integrity, and any relevant tools like Dayforce or Power BI. 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 tell us why you're passionate about HR analytics and how you can transform data into actionable insights. Keep it engaging and relevant to the job description.
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them in real-world scenarios. Share examples of how you've built dashboards or improved reporting processes. We love seeing practical applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Biffa Waste Services
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you’ll be working with, especially in relation to HR analytics. Brush up on your knowledge of reward programmes and how they impact decision-making. Being able to discuss specific datasets and their implications will show your analytical prowess.
✨Showcase Your Dashboard Skills
Prepare to talk about your experience with building dashboards, particularly within HCM systems like Dayforce or Power BI. Bring examples of your previous work, and if possible, demonstrate how your dashboards have driven insights and decisions in past roles.
✨Translate Complexity into Clarity
Practice explaining complex data in simple terms. You’ll need to convey insights to senior stakeholders who may not have a technical background. Think of examples where you’ve successfully communicated intricate data narratives and how they influenced strategic decisions.
✨Emphasise Collaboration
This role requires partnering with various teams, so highlight your experience working cross-functionally. Be ready to discuss how you’ve collaborated with HR, Finance, and leadership teams to enhance data quality and governance, and how that has improved analytics maturity in your previous roles.
