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HR Data and Reporting Analyst

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: The Progeny Group Limited
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 40000 - 56000 GBP Yearly GBP 40000.00 56000.00 YEAR
Job Description & How to Apply Below
Location: City of Edinburgh

Role Profile

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, remuneration benchmarking and annual pay review processes.

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, accurate people‑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 interpret complex data and translate it into meaningful insights
  • Ability to communicate complex information in a clear, accessible way, adapting style to suit technical and non‑technical audiences
  • Effective stakeholder management and relationship management
  • High level of organisation and ability to manage cyclical processes
  • Focused on detail and accuracy
  • Ability to be flexible & adapt at short notice
  • Strong and effective decision‑making
  • Team player who is willing to collaborate and trust
  • Ability to deal with confidential matters with discretion and tact
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