HR Data Analyst (Power BI)

• Design, develop, and maintain interactive Power BI dashboards to enable a self-service approach to HR data across management and leadership teams.
• Analyse workforce trends and metrics, providing actionable insights to HR leaders and key business stakeholders.
• Support workforce planning and strategic decision-making through detailed people analytics and data interpretation.
• Identify opportunities to streamline and automate recurring HR reporting processes.

Data Management & Governance

• Maintain and manage accurate employee data across HRIS and payroll systems.
• Validate, cleanse, and reconcile HR datasets to ensure reporting accuracy and reliability.
• Ensure consistency, integrity, and quality of data across multiple systems and platforms.
• Support the secure and GDPR-compliant handling of sensitive employee information.

Stakeholder Engagement & Support

• Partner with HR teams and departmental managers to understand reporting requirements and business needs.
• Present data insights and findings in a clear, concise, and non-technical manner.
• Provide ad hoc reporting, analysis, and support for business initiatives and projects.
• Assist with annual reporting activities, audits, and compliance requirements.
• Assist the wider HR team from time to time with employee lifecycle activities e.g. recruitment and employee relations support

Do you have experience in Power BI?, * Previous experience in an HR Analyst, Data Analyst, or People Analytics role, with significant exposure to sensitive people-related data.

• Strong hands-on experience developing solutions within Microsoft Power BI. Advanced knowledge of DAX for data analysis and reporting.
• Strong experience using Power Query for data transformation and preparation. Proven ability to design and build semantic data models from the ground up, including defining optimal data structures and relationships.
• Experience integrating and consolidating data from multiple systems, using different connectors, into a unified reporting model.
• Excellent analytical, problem-solving, and critical-thinking skills. High level of accuracy and attention to detail.
• Good understanding of GDPR principles and confidential data handling practices.
• Ability to translate business questions into meaningful data stories and actionable insights