Data Analyst Lead

We’re looking for a Data Analyst Lead to join our team based in Bradford. This is a permanent hybrid position, working in the office at least two days a week.

As the Data Analyst Lead, you’ll own the strategy for reporting, analytics, and data insights within People Services in our HR & Payroll Shared Service Centre. Your role is to define, deliver, and continuously enhance this strategy to drive service performance, elevate customer experience, support commercial growth, and inform operational decision-making.

You’ll act as the critical link between business requirements, operational teams, and performance data—ensuring insights are translated into meaningful actions. A key part of your remit will be leading automation initiatives to enable self-service reporting, streamline analysis, and boost productivity through workflow optimisation, simple automation, and process efficiencies.

This is a hands‑on, reactive role focused on core day‑to‑day reporting. You’ll need strong analytical skills to interpret and leverage data, tell compelling stories through insights and trends, and provide clear recommendations. Comfort working across multiple systems and data sources is essential. As our systems evolve, you’ll adapt to greater data control and integration, ensuring our reporting capability remains future‑ready.

What will you be doing?

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• Design and maintain performance and customer reports across HR, Payroll, and Shared Services.
  
• Deliver accurate reporting packs for monthly and quarterly business reviews.
  
• Standardise reporting aligned to KPIs, SLAs, and commercial goals.
  
• Turn data into actionable insights that drive decisions and improvements.
  
• Build dashboards and visualisations to track performance and forecast trends.
  
• Support capacity planning and demand forecasting with reliable data.
  
• Automate reporting tasks and apply workflow tools to boost efficiency.
  
• Collaborate with HR, Payroll, and People Systems teams to meet reporting needs.
  
• Provide clear data commentary for internal and client performance reviews and reporting for internal and client performance meetings, including MBR/QBR.
  

We tend to look for people with:

Essential:

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• Proven experience in reporting, data analysis, and generating actionable insights.
  
• Skilled in improving reporting workflows and applying light automation to enhance efficiency.
  
• Background in supporting performance reviews, dashboards, and operational reporting.
  

Desirable:

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• Familiarity with HR/Payroll Shared Services data.
  
• Knowledge of Python, SQL, VBA, or similar tools for advanced data analysis.
  
• Experience using workflow or low‑code tools to automate reporting processes.
  
• Exposure to HRIS platforms such as Workday, Oracle, or SuccessFactors.
  
• Certification in Lean Six Sigma, Agile, or Design Thinking.
  

What’s in it for you?

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• Competitive salary.
  
• 25 days annual leave with the option to purchase 5 more.
  
• Enjoy your birthday off, plus receive an additional 3 days of annual leave once you reach 5 years of service.
  
• Access to wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance, plus many more.
  
• Matched pension contribution up to 10%
  
• Access to our car benefit scheme.
  
• Access to our online learning platform to continue to develop and grow your career with us.
  
• The chance to join an innovative, fast‑paced and passionate team.
  

Who we are:

Liberty Blume, a Liberty Global company, is a rapidly growing business services provider, specialising in tech‑enabled back‑office solutions. Our mission is to deliver efficiency, scale and value to our customers through Business, Procurement and Financial Solutions. If you’re curious, customer centric and enjoy being one step ahead, join us on our scale up journey and unlock your freedom to grow!

Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates. We’re eager to hear from you, no matter your background.