Course Introduction
Human Resources is increasingly expected to provide evidence-based insight that supports strategic decision-making, workforce sustainability, and organisational performance. HR Analytics has emerged as a critical capability, enabling organisations to move beyond intuition and historical reporting towards predictive, forward-looking people decisions.
This HR Analytics training course equips participants with the knowledge, frameworks, and analytical thinking required to interpret workforce data, apply meaningful HR metrics, and translate insights into actionable organisational value. The course focuses on using analytics to improve workforce planning, talent acquisition, performance management, engagement, and retention, while maintaining strong governance and ethical standards in people data usage.
Objectives
At the end of this HR Analytics training course, participants will be able to:
- Understand the strategic role of HR analytics in modern organisations
- Apply key HR metrics and analytics frameworks effectively
- Analyse workforce trends and people risks using data
- Support talent, performance, and retention decisions with evidence
- Communicate HR insights clearly to senior leadership
- Strengthen governance, ethics, and data integrity in HR analytics
Training Methodology
This HR Analytics training course combines structured frameworks, guided analysis, practical exercises, and facilitated discussions to ensure strong knowledge transfer and real-world application. Participants engage with realistic workforce scenarios, interpret HR datasets, and practice translating analytical outputs into strategic recommendations. The methodology emphasises practical relevance, critical thinking, and executive-level insight, enabling participants to confidently apply HR analytics within their organisational context.
Organisational Impact
Organisations benefit from improved workforce visibility, stronger talent decision-making, and reduced people-related risk. By embedding HR analytics into decision processes, organisations can enhance workforce planning accuracy, improve retention outcomes, support inclusive practices, and align HR initiatives more closely with business strategy. This HR Analytics training course supports the development of a data-driven HR function capable of delivering measurable organisational value.
Personal Impact
Participants gain the confidence and capability to engage with data, challenge assumptions, and contribute strategically to workforce decisions. Our HR Analytics training course enhances analytical thinking, professional credibility, and the ability to influence leadership discussions using evidence-based insights. Participants leave better equipped to operate as strategic HR partners in data-driven organisations.
Who Should Attend?
This HR Analytics training course is ideal for:
- HR managers and HR business partners
- Talent management and workforce planning professionals
- Learning and development specialists
- HR analytics and HR systems professionals
- People and culture leaders
- Managers involved in workforce and people decision-making
Course Outline
- The rationale for the evidence based approach
- Understanding statistics - Probability and Significance
- The nine steps of the analytics process
- Aims of an analytics strategy
- Viewing employees as assets not costs
- Strategies for investing in human capital metrics
- Measuring the impact of HR strategy and investments
- Measuring ROI
- Methods of data capture
- Employee self-assessment and self-report measures
- Electronic workforce surveillance & analytics
- Data security
- Attendance, absence & well-being
- Manpower planning
- Talent management & succession planning
- HR effectiveness and efficiency
- Employee motivation
- Employee engagement
- The psychological contract
- Empowerment and accountability
Certificate
On successful completion of this training course, Oxford Management Centre Certificate with eligible Continuing Professional Education credits (CPE) from National Registry of CPE Sponsor will be awarded to the delegates
In association with
