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- Tasks: Lead the development of reward analytics and transform data into actionable insights.
- Company: Join Biffa, a forward-thinking company changing the way we think about waste.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture that champions diversity and equality.
- Why this job: Make a real impact by driving strategic decisions with data in a dynamic environment.
- Qualifications: Experience in HR analytics, strong analytical skills, and dashboard building expertise.
The predicted salary is between 60000 - 75000 £ 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.
Location and Work Model: Cressex, High Wycombe Hybrid Role (3 office days)
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)
At Biffa, we love working with waste. Whether we’re turning it into sustainable power, finding new ways to recycle it or simply keeping it off the streets, we believe every day is an opportunity to improve the lives of millions. We believe different ideas, perspective, and backgrounds are key to developing a creative and effective working environment which is why you’ll find us championing diversity and equality at every turn.
HR Data Analytics Manager employer: Biffa
Contact Detail:
Biffa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to current employees at Biffa on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the HR Data Analytics Manager role.
✨Tip Number 2
Prepare for the interview by brushing up on your data storytelling skills. You’ll need to translate complex data into clear narratives, so practice explaining your past projects in a way that highlights your analytical prowess and impact.
✨Tip Number 3
Showcase your technical skills! If you’ve worked with Dayforce, Power BI, or similar tools, be ready to discuss specific examples of how you’ve used them to drive insights and improve reporting quality.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Biffa team and making a difference in the world of waste management.
We think you need these skills to ace HR Data Analytics Manager
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 tools like Dayforce or Power BI that you've used. We want to see how your skills align with what we're looking for!
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 role – we love a good story!
Showcase Your Analytical Skills: In your application, don’t just say you have strong analytical skills – show us! Include examples of how you've tackled complex datasets and delivered insights in previous roles. We’re keen to see your problem-solving prowess in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just follow the prompts and let us know you’re interested!
How to prepare for a job interview at Biffa
✨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 MI and reporting. Brush up on your analytical skills and be ready to discuss how you’ve transformed complex datasets into actionable insights in previous roles.
✨Showcase Your Dashboard Skills
Prepare to talk about your experience building dashboards, particularly within HCM systems like Dayforce or Power BI. Bring examples of your work to the interview, as this will demonstrate your capability and give you a chance to explain your thought process behind the designs.
✨Understand the Business Context
Research Biffa’s business model and how HR analytics can impact their operations. Be ready to discuss how your role as an HR Data Analytics Manager can support strategic decisions, budgeting, and pay cycles, showing that you understand the intersection of HR, Reward, and Finance.
✨Prepare for Stakeholder Engagement
Since you’ll be translating data for senior stakeholders, practice explaining complex data narratives in simple terms. Think of examples where you’ve successfully communicated insights to non-technical audiences, as this will highlight your ability to bridge the gap between data and decision-making.