Human Resources Training & Development · Short course
HR Metrics and Data Analytics Training
This HR Metrics and Data Analytics Training Course addresses critical challenges faced by HR professionals, such as real-time HR analytics, predicting employee turnover, and optimising recruitment decisions. Participants will…
The programme
Programme overview
This HR Metrics and Data Analytics Training Course addresses critical challenges faced by HR professionals, such as real-time HR analytics, predicting employee turnover, and optimising recruitment decisions. Participants will learn to leverage essential HR metrics and analytical techniques to enhance organisational performance and strategic HR management.
The course guides attendees through a structured process of using key HR metrics and data analytics tools to analyse, interpret, and predict various workforce dynamics. Emphasis is placed on developing data-driven insights to manage recruitment, employee engagement, productivity, retention, and performance effectively.
Participants will explore the primary types of HR analytics — descriptive, diagnostic, predictive, and prescriptive — to transform their HR processes from intuition-driven to evidence-based decision-making.
Who should attend
Who is this programme for?
This HR Metrics and Data Analytics course is designed primarily for HR professionals, and is also relevant to analytics specialists supporting HR decisions:
- HR Officers and Managers Responsible for Recruitment, Training, and Employee Development
- HR Business Partners and People Analytics Professionals Providing Insight for Decision-Making
- Workforce Planning and Organisational Development Professionals
- Managers and Supervisors Overseeing Organisational Operations Who Rely on HR Data
Learning outcomes
What you will learn
By the end of this HR Metrics and Data Analytics Training, participants will be able to:
- Understand the fundamentals of data analytics in the context of HR departmental operations
- Apply the four types of HR analytics — descriptive, diagnostic, predictive, and prescriptive
- Identify and calculate the key metrics that matter most to HR strategy and human capital decisions
- Align organisational change initiatives with evidence drawn from HR data
- Use practical statistical techniques to test HR decisions with real confidence, not just intuition
- Apply metrics to recruitment, workforce planning, learning and development, and performance
- Build organisational buy-in and capability for an analytics-driven HR function
- Set benchmarks and use data to attract and retain competent talent from the market
- A Practical Statistics Foundation, Not an Intimidating One: Learn hypothesis testing, correlation, and regression through real HR decisions — hiring, training, pay — not abstract theory.
- Lower Setup Friction: Work primarily through browser-based and cloud tools, reducing the IT approval burden on your team before the course even starts.
- Practical, Applied Learning: Every module closes with a hands-on exercise, so concepts are practised, not just presented.
- A Tight HR Focus: Every module speaks directly to HR decisions — recruitment, retention, performance, workforce planning — without drifting into unrelated business analytics.
- Built for Where You Actually Are: Designed for HR officers and managers first, with the analytical depth to also serve data and people analytics specialists.
Explore the programme
Detailed programme outline
3-Day Essentials — Course Outline
DAY 1 — Foundations and Core Metrics
Session 1: HR Metrics, Data Analytics, and Strategy
- The rationale for evidence-based HR
- Understanding data, the different levels of analytics, and the analytics cycle
- Identifying the key HR metrics that matter most to your organisation
Practical Exercise: Identify the three HR metrics that would matter most to your organisation’s current priorities.
Session 2: Data Sources and Core HR Metrics
- Internal and external data sources for HR analytics
- Employee tenure, compensation, and performance appraisal data
- Revenue per employee and training investment metrics
Practical Exercise: Map the internal and external data sources currently available to your HR function.
DAY 2 — Applying Metrics and Tools
Session 3: Putting Metrics into Action
- HR planning and recruitment analytics
- Talent management and succession planning metrics
- Applying the Balanced Scorecard to HR strategy
Practical Exercise: Build a simple Balanced Scorecard outline linking HR metrics to organisational strategy.
Session 4: The HR Data Analysis Process and Tools
- Aligning HR metrics with organisational objectives
- Collating, analysing, and interpreting HR data
- Working with Power BI for HR dashboards and reporting (browser-based Power BI Service, no local install required)
Practical Exercise: Sketch the structure of an HR dashboard relevant to your own reporting needs.
DAY 3 — Engagement, Performance, and Your Analytics Plan
Session 5: Metrics in Action — Engagement, Performance, and Productivity
- Evaluating employee motivation, engagement, and the psychological contract
- Performance management methodologies and training effectiveness metrics
- Attendance, absence, employee well-being, and workforce cost metrics
Practical Exercise: Design a simple metrics dashboard covering engagement, performance, and attendance for your team.
Session 6: Close-Out — Building Your Analytics-Driven HR Function
- Building analytics capability within HR teams
- Data security, ethics, and collaborating with legal for compliance
- Deciding whether the 5-Day Comprehensive programme is the right next step
- Committing to specific actions for the weeks ahead
Practical Exercise: Design a pilot HR analytics project you could realistically launch within 90 days of returning to work.
5-Day Comprehensive — Course Outline
Streamlined from the previous 12-module structure to 8 modules across 5 days, so each topic gets proper depth rather than being rushed. The previous Module 12 (Customer Service Metrics) has been removed, as complaint-resolution and ticket-response metrics sit outside HR’s core remit and diluted the course’s HR focus.
Module 1: HR Metrics, Data Analytics, Strategy, and the HR Department
- Strategic HRM and human capital: connecting metrics to business value
Module 2: Data Sources and Core HR Metrics
- Metrics for identifying competent and high-performing employees
Module 3: Putting Metrics into Action — Recruitment, Talent, and Workforce Planning
- Skills and training needs analysis
Module 4: Driving Organisational Change with Data
- Principles and theories of organisational change
- Overcoming resistance to data-driven change
- Cultural and technological drivers of change
- Using data credibly as a driver of strategic change
Practical Exercise: Identify one change initiative in your organisation that data could help build the case for.
Module 5: The HR Data Analysis Process and Tools
- Evaluating the organisational impact of HR policies using data
Module 6: Metrics in Action — Engagement, Performance, and Productivity
- Metrics application in recruitment, workforce planning, and learning & development
Module 7: Statistical Foundations for HR Decision-Making
- Practical hypothesis testing applied to real HR questions
- Testing hiring decisions and training effectiveness with confidence, not guesswork
- Understanding correlation, covariance, and their use in salary and promotion analysis
- An introduction to predictive modelling using linear regression
Practical Exercise: Apply a basic statistical test to a sample HR dataset to test a real hiring or training question.
Module 8: Building an Analytics-Driven HR Function
- Implementing HR analytics pilot projects
- Cultivating an evidence-based, analytics-driven organisational culture
Learning approach
How you will learn
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.– Course Material: Access well-crafted supporting resources.– Group Work: Collaborate on discussions and case studies for practical insights.– Workshops & Role-Play: Participate in immersive, scenario-based activities.– Practical Application: Focus on applying theoretical knowledge in real situations.– Post-Training Support: Receive extensive support after training for skill implementation.
Discuss your requirements
Dates, duration & arrangements
Contact Ratomac to confirm dates, duration, delivery format, entry requirements and any applicable assessment or certification before booking.
Enquire about this programme