At a Glance
- Tasks: Lead and shape the People Analytics function, transforming data into impactful insights.
- Company: Join a Top Employer committed to innovation and exceptional workplace culture.
- Benefits: Cycle to work scheme, discounted pet care, pension, and well-being initiatives.
- Why this job: Make a real impact by building analytics that drive decisions and improve outcomes.
- Qualifications: Advanced skills in Power BI, SQL, and experience in HR analytics.
- Other info: Diverse and inclusive workplace with strong support for personal development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We’re proud to be recognised as a Top Employer for 2025 and we’re not stopping there. Our sights are set on achieving Top Employer status again in 2026, and we’re committed to continuously raising the bar. Data is at the heart of this journey, driving innovation and improvement across everything we do, which is a reflection of our People Promise to be an exceptional place to work. Looking ahead, we’re preparing for exciting milestones where data will play a critical role in shaping our future.
A unique opportunity to build and shape a UK & I People Analytics function with full senior backing. Work on high-impact people analytics projects, including advanced automation and AI initiatives. Exposure to senior leaders, cross-market work, and the ability to genuinely influence direction. A chance to create an analytics “house” that becomes the backbone of decision-making.
We’re looking for a People Analytics Manager to transform how we use data to understand our workforce, shape decisions, and drive better outcomes for our people and our customers. If you’re excited by the challenge of building something new, creating robust data models, automating processes, and turning complex datasets into powerful insights and stories. This is a great opportunity to make a real impact. This role is ideal for someone who wants to take a function from reactive to truly insight-led through the power of combined data.
What You’ll Do
- Lead and Elevate our People Analytics Capability (1 team member + stakeholder management)
- Enhance day-to-day reporting and ensure the business has consistent, accurate and timely insight.
- Bring structure and clarity to large, fragmented manual and automated people datasets across pay, absence, retention, attrition, onboarding and workforce behaviour.
- Provide proactive commentary, themes and recommendations, not just numbers.
- Build strong foundational analytics infrastructure models, datasets, automated workflows and tools that scale with the business.
- Stress-test assumptions, model scenarios, and surface risks and opportunities before they become issues.
- Be a Trusted Partner: Present insights weekly to senior leaders, including the C-Suite.
- Collaborate closely with People Operations, Talent, HRBPs, Payroll, Systems, Finance and wider People teams across the UK & Ireland.
- Build relationships with global analytics colleagues to share knowledge and improve how we use data across markets.
- Develop and Lead Others: Act as the senior technical expert in the team. Support and develop current analysts, helping shape the right structure, capability and ways of working.
What You’ll Bring
- Advanced skills in Power BI, Excel, SQL and working with large, multi-source datasets.
- Experience building models, forecasting, scenario analysis and predictive insights.
- Strong understanding of HRIS systems (e.g. Dayforce) and how people data integrates across platforms.
- Experience with automation and AI tools (highly desirable).
- Proven background in People/HR Analytics, Workforce Analytics or a similar role where your insights have driven sustainable business outcomes.
- Experience in high-volume, complex environments such as retail, logistics, large corporates or consulting.
- Comfortable navigating imperfect data and building structure where none exists.
- A natural problem-solver with a proactive, curious and analytical mindset.
- Able to bring the “so what?” connecting data points into clear insights and compelling stories.
- Confident communicator with the ability to influence senior stakeholders and instil trust in the data.
What We Offer
- Cycle to work scheme.
- Discounted staff pet care.
- Company pension.
- Employee Assistance Programme (EAP) and supportive well-being initiatives.
- Family-friendly policies.
At IVC Evidensia we are committed to Diversity, Equality, Inclusion and Belonging, we are keen to hear from candidates from all minority and diverse groups. As a Disability Confident Employer, we are keen to hear from candidates with disabilities and long-term health conditions and would be happy to discuss any reasonable adjustments needed during the recruitment process.
If you have any questions before applying, speak to Danielle Hughes from our recruitment team who would be happy to help you with any questions you have before applying for this role.
People Analytics Manager in Keynsham employer: VC Evidensia UK
Contact Detail:
VC Evidensia UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land People Analytics Manager in Keynsham
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to People Analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers. We want to see how you’ve tackled challenges in the past!
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve worked on relevant projects, create a presentation or a case study that highlights your analytical prowess. This is a great way to demonstrate your capabilities beyond just talking about them.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email reiterating your interest in the role and mentioning something specific from the conversation can keep you top of mind. Plus, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace People Analytics Manager in Keynsham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in People Analytics. We want to see how your skills align with our mission to transform data into powerful insights.
Showcase Your Technical Skills: Don’t hold back on showcasing your advanced skills in Power BI, Excel, and SQL. We’re looking for someone who can handle large datasets and turn them into actionable insights, so let us know what you’ve got!
Be a Storyteller: When you describe your past experiences, focus on the 'so what?' aspect. We love candidates who can connect the dots between data points and tell compelling stories that drive decision-making.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at VC Evidensia UK
✨Know Your Data Inside Out
As a People Analytics Manager, you'll be expected to have advanced skills in Power BI, Excel, and SQL. Brush up on these tools before your interview. Be ready to discuss how you've used them to build models or provide insights in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've navigated imperfect data and built structure where none existed. Highlight your proactive and analytical mindset by discussing specific challenges you've faced and how you overcame them.
✨Communicate with Confidence
You'll need to present insights to senior leaders, so practice articulating complex data in a clear and compelling way. Think about how you can connect the dots between data points and tell a story that resonates with stakeholders.
✨Build Relationships
This role involves collaboration with various teams. Be prepared to discuss how you've built strong relationships in the past, especially with cross-functional teams. Share examples of how these collaborations led to successful outcomes.