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HR Data Analyst
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The HR Data Analyst
The HR Data Analyst is responsible for transforming workforce and organisational data into meaningful insights that support better people related business decision-making.
This role will partner with HR, Finance, and business leaders to provide analysis, reporting, forecasting, and recommendations that improve organisational effectiveness, workforce planning, and employee outcomes.
Understanding business challenges and identifying opportunities where data can provide insight and support. Present findings in a clear and engaging manner to both technical and non-technical audiences.
Data Analysis & Insight Generation
- Compile group wide HR data sets from various sources in the absence of a group HRIS.
- Ensure accuracy of data through data audit/cross referencing and data entry to correct where required.
- Analyse workforce and business data to identify trends, risks, opportunities, and areas for improvement.
- Produce regular and ad-hoc reports, dashboards, and presentations for leadership teams.
- Translate complex datasets into practical insights and recommendations.
- Support evidence-based decision-making through robust analysis and data interpretation.
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Reporting & Dashboard Development
- Develop, maintain, and enhance dashboards and reporting solutions.
- Automate and streamline reporting processes where possible.
- Ensure reporting is accurate, timely, and aligned with stakeholder needs.
- Monitor key workforce and organisational performance indicators.
- Project support and potential HRIS implementation support.
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Workforce Planning & Forecasting
- Support workforce planning activities through data analysis, trend identification, and forecasting.
- Assist with scenario modelling to support organisational growth, transformation, and talent planning initiatives.
- Provide analysis to support budgeting, resource planning, and organisational decision-making.
Data Quality & Governance
- Maintain high standards of data accuracy, consistency, and integrity.
- Conduct audits and validation checks to identify and resolve data discrepancies.
- Contribute to the development of data standards, definitions, and governance practices.
- Promote a culture of data quality and informed decision-making.
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