Certified Human Resources Analyst (CHRA) Preparation
Show how investment in people affects business results.
About this course
Show how investment in people affects business results. Over four days you will learn the principles of HR analytics, prepare and analyse workforce data, and design indicators and dashboards that leaders can read at a glance.
You will apply analytics to recruitment, retention, performance and workforce planning, and practise linking talent data to strategic goals so HR earns its place in business decisions. An applied case study and assessment review prepare you for the CHRA.
What you'll learn
- Explain the principles of modern HR analytics and their value to the business
- Apply data analysis to improve HR decisions
- Design HR performance indicators and tracking dashboards
- Link talent analytics to the organisation's strategic goals
- Use data to strengthen recruitment, retention and performance processes
- Support workforce planning and forecasting of future needs
- Present data-driven insights that improve organisational performance
Curriculum
- Why people data matters to results
- HR as a partner in business decisions
- Levels of analytics: descriptive to predictive
- Ethics and data privacy
- Sources of HR data
- Data quality and preparation
- Building a usable HR dataset
- Common analysis tools
- Choosing meaningful indicators
- Turnover, absence and headcount measures
- Cost and return on HR activities
- Setting targets and benchmarks
- Designing HR dashboards
- Visualising workforce data
- Telling a story with numbers
- Reporting to senior leaders
- Recruitment funnel analysis
- Quality of hire
- Predicting and reducing attrition
- Engagement data
- Analysing performance data
- Linking talent analytics to strategy
- Workforce planning and forecasting
- Scenario modelling
- Building a business case for HR initiatives
- Measuring the impact of change
- Applied case study
- Assessment review
Who it's for
HR professionals, analysts, policy writers and consultants who want to support HR decisions with data.
Before you start
- A university degree
- At least two years of practical experience in a related field
Prepares for
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