The HR Data Analyst plays a key role in delivering high-quality people data, insights and reporting to support strategic decision making across the organisation. The role focuses on developing robust data analysis, reporting and governance practices across the full employee lifecycle, enabling the People team and business leaders to make informed, evidence-based decisions.
While the primary focus of the role is broader people analytics, the role also provides analytical support across reward activities, including Gender Pay Gap reporting, remunerationbenchmarking and annual pay review processes.
The role requires strong analytical capability, attention to detail and the ability to translate complex data into clear, actionable insights for a range of stakeholders.
Please note that this role is a 12-month fixed-term contract and can be based out of either our Leeds, Nottingham, or Edinburgh office.
Key Responsibilities
People Data & Analytics
Produce regular and ad hoc people reports for senior stakeholders, including Board and Executive Committee
Analyse workforce data to identify trends and insights across areas such as recruitment, retention, diversity, performance and engagement
Develop and maintain dashboards and reporting frameworks to improve visibility of key people metrics
Ensure data accuracy, integrity and governance across HR systems and reporting outputs
Support continuous improvement of data processes, reporting capabilities and automation
Reward Analytics
Support delivery of statutory Gender Pay Gap reporting, including data validation, analysis and narrative development
Contribute to remuneration benchmarking activities using external salary data
Provide analytical support for the annual pay review process, including data preparation, modelling and scenario analysis
Support benefits data analysis and provider reviews
Systems & Data Management
Maintain and optimise HRIS reporting functionality (e.g. BambooHR)
Build and maintain data models and tools to support analysis and reporting
Ensure strong audit trails and compliance with data governance and regulatory requirements
Stakeholder Engagement
Partner with People Partners, Finance and business leaders to understand data needs and deliver meaningful insights
Present complex data in a clear, accessible way to both technical and non-technical audiences
Support People team initiatives with data-driven insights and analysis
Technical Knowledge
Strong analytical background with experience in HR / people analytics or similar data-focused role
Advanced Excel skills (pivot tables, lookups, modelling); experience with data visualisation tools desirable
Experience working with HR systems and large datasets (BambooHR or similar desirable)
Understanding of data governance, accuracy and audit requirements
Exposure to reward processes (pay reviews, benchmarking, gender pay gap reporting) beneficial but not essential
Awareness of UK employment legislation and regulatory environments advantageous
Collaboration & Team Contribution
Work closely with People Partners, Finance, Talent acquisition and business leaders to provide clear, accuratepeople-related insights
Support People Partners and Line Manager during the pay review cycle, offering guidance on tools, data and reward policies
Build effective relationships with external benefits providers, ensuring smooth service delivery and timely issue resolution
Contribute to cross-functional data production projects, sharing expertise and supporting continuous improvement initiatives
What success looks like
High-quality, accurate and timely people data reporting that supports strategic decision making
Clear and actionable insights provided to senior stakeholders
Improved visibility and understanding of key workforce trends
Smooth delivery of reward-related processes supported by robust data analysis
Strong data governance, with reliable and audit-ready datasets
Continuous improvement in reporting tools, processes and data capability
Skills, Behaviours & Knowledge
Advanced Excel and strong analytical capability
Ability to interpretcomplex data and translate it intomeaningful insights
Ability to communicate complex information in a clear, accessible way, adapting style to suittechnical and non-technical audiences
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