About This Course
The modern HR function is no longer defined solely by compliance, recruitment, and employee relations. Increasingly, organisations expect HR professionals to act as strategic partners who can quantify workforce trends, predict talent risks, and demonstrate the return on investment of people programmes. HR analytics — the disciplined use of data to inform talent and organisational decisions — has become a core competency for HR teams in both the private and public sectors.
Data-Driven HR: Leveraging HR Analytics Training is a five-day, immersion-style programme designed by TrainingComplex to help HR practitioners, business partners, and people managers build confidence and capability in working with workforce data. The course moves from foundational concepts — understanding what HR analytics is and why it matters — through to practical application: building dashboards, running workforce models, interpreting statistical outputs, and presenting findings that influence C-suite decisions.
Participants will engage with real HR datasets, apply industry-standard analytical frameworks, and leave with ready-to-use templates, measurement tools, and a personal analytics roadmap they can deploy in their own organisations immediately after the programme. Whether your organisation is just beginning its data journey or is looking to deepen an existing analytics capability, this course provides the structured knowledge and hands-on practice to accelerate progress.
TrainingComplex's facilitators bring deep experience in HR strategy, organisational development, and applied data analytics, ensuring that every concept taught is grounded in the practical realities of African and global business environments. Delegates from government agencies, NGOs, financial institutions, manufacturing firms, and professional services organisations have all benefited from this programme's unique blend of strategic thinking and practical skill-building.
Who Should Attend
- HR Managers and HR Business Partners seeking to strengthen their analytical capabilities
- Talent Acquisition and Talent Management professionals responsible for workforce planning
- HR Directors and Chief People Officers building an evidence-based HR function
- Organisational Development practitioners who use data to drive culture and performance change
- People Analytics specialists and HR data analysts looking to formalise their methodology
- Payroll and Compensation professionals who work with remuneration and benefits data
- Management consultants supporting HR transformation projects
- Line managers and operations leaders who make people decisions and want to use data more effectively
Learning Objectives
- Explain the scope, value, and strategic importance of HR analytics within modern organisations
- Design a robust HR metrics framework aligned to business strategy and organisational goals
- Collect, clean, and structure HR data from multiple sources including HRIS, surveys, and payroll systems
- Apply descriptive, diagnostic, predictive, and prescriptive analytics techniques to workforce datasets
- Build and interpret HR dashboards and visualisations using accessible tools such as Excel, Power BI, or equivalent platforms
- Conduct workforce planning analyses including headcount modelling, skills gap assessment, and attrition forecasting
- Measure the effectiveness of recruitment, learning and development, engagement, and compensation programmes
- Communicate HR data findings clearly and persuasively to senior leadership and non-technical stakeholders
- Identify and address ethical considerations, data privacy obligations, and bias risks in people analytics
- Develop a personal or organisational HR analytics roadmap with prioritised quick wins and long-term goals
Course Modules
Module 1: Foundations of HR Analytics: Strategy, Scope, and Value
- The evolution of HR from administrative function to strategic business partner
- Defining HR analytics: descriptive, diagnostic, predictive, and prescriptive levels
- The business case for people analytics: ROI evidence and organisational impact
- Key stakeholders in an HR analytics ecosystem and their data needs
- Common barriers to analytics adoption in HR and how to overcome them
- Aligning HR analytics strategy with overall business and workforce strategy
Module 2: Building an HR Metrics Framework
- Distinguishing metrics, KPIs, and analytics — and when to use each
- The balanced scorecard approach applied to HR measurement
- Selecting meaningful metrics across the employee lifecycle
- Avoiding vanity metrics: focusing on measures that drive decisions
- Cascading HR metrics from organisational strategy to team-level goals
- Documenting and governing your HR metrics dictionary
Module 3: HR Data Sources, Collection, and Quality Management
- Mapping data sources: HRIS, payroll systems, engagement surveys, exit interviews, and LMS
- Data collection best practices: consistency, completeness, and timeliness
- Cleaning and validating HR datasets — spotting errors, outliers, and missing values
- Structuring raw HR data for analysis: formatting, coding, and standardisation
- Integrating data from multiple systems and reconciling discrepancies
- Building a data audit trail and maintaining data integrity over time
Module 4: Descriptive and Diagnostic Analytics for HR
- Calculating and interpreting core HR metrics: turnover rate, time-to-hire, cost-per-hire, absenteeism index
- Using frequency distributions, averages, and variance to describe workforce trends
- Root cause analysis techniques applied to HR problems: fishbone diagrams and drill-down analysis
- Cohort analysis: tracking employee groups over time to identify patterns
- Benchmarking HR metrics against industry standards and peer organisations
- Translating descriptive findings into actionable HR insights
Module 5: Data Visualisation and HR Dashboard Design
- Principles of effective data visualisation: clarity, accuracy, and appropriate chart selection
- Designing HR dashboards for different audiences: executives, line managers, and HR teams
- Hands-on dashboard building using Microsoft Excel pivot tables and charts
- Introduction to Power BI for HR: importing data, creating visuals, and publishing reports
- Colour, layout, and storytelling principles that make dashboards compelling and easy to read
- Iterating dashboard design based on stakeholder feedback
Module 6: Talent Acquisition Analytics
- Measuring recruitment funnel efficiency: application-to-offer ratios and stage conversion rates
- Source-of-hire analysis: evaluating the quality and cost-effectiveness of recruitment channels
- Time-to-fill and offer acceptance rate trends as indicators of employer brand strength
- Quality-of-hire measurement: linking new hire performance data to recruitment decisions
- Diversity and inclusion metrics in recruitment: tracking representation and bias indicators
- Using predictive analytics to identify high-potential candidates and reduce mis-hire risk
Module 7: Workforce Planning and Attrition Analytics
- Headcount modelling: current state analysis, demand forecasting, and supply projection
- Skills gap analysis: mapping existing capabilities against future business requirements
- Voluntary and involuntary attrition analysis: segmenting turnover by department, tenure, and role
- Building a predictive attrition model using engagement, performance, and tenure data
- Succession risk analysis: identifying critical roles with no ready successors
- Scenario planning: modelling workforce implications of growth, restructuring, and market shifts
Module 8: Employee Engagement and Performance Analytics
- Designing and analysing employee engagement surveys for actionable insights
- Linking engagement scores to productivity, absenteeism, and retention outcomes
- Performance rating distribution analysis: identifying calibration issues and bias
- Using 360-degree feedback data analytically to inform leadership development
- Measuring the impact of recognition and well-being programmes on engagement indicators
- Building a continuous listening strategy with pulse surveys and sentiment analytics
Module 9: Learning, Development, and Compensation Analytics
- Measuring training effectiveness: Kirkpatrick's four levels applied to data collection
- Calculating the ROI of learning and development interventions
- Linking skills development data to internal mobility and promotion rates
- Pay equity analysis: detecting gender, grade, and demographic pay gaps
- Total rewards benchmarking: comparing compensation packages against market data
- Using benefits utilisation data to optimise employee value proposition design
Module 10: Ethics, Data Privacy, and Building Your Analytics Roadmap
- Data privacy obligations in HR: GDPR principles, local legislation, and employee consent
- Addressing algorithmic bias and fairness in predictive HR models
- Transparency and trust: communicating how employee data is collected and used
- Governance structures for responsible HR analytics: roles, policies, and oversight
- Assessing your organisation's current HR analytics maturity level
- Developing a prioritised HR Analytics Roadmap with quick wins, medium-term projects, and a long-term vision
Requirements & Prerequisites
Participants should have at least two years of experience working in an HR, people management, or organisational development role. A basic familiarity with spreadsheet applications such as Microsoft Excel is expected, as the course includes hands-on data exercises. No advanced statistical background is required — the programme is designed to build analytical skills progressively from foundational principles.
Training Methodology
- Hands-on analysis of realistic HR datasets covering recruitment, turnover, engagement, and compensation scenarios
- Guided dashboard-building workshops using Microsoft Excel and Power BI to develop practical visualisation skills
- Case studies drawn from African and global organisations illustrating both successful and failed HR analytics implementations
- Small-group workforce planning simulations in which participants model headcount scenarios and present recommendations
- Peer critique sessions where delegates review each other's metrics frameworks and analytical outputs for robustness
- Stakeholder communication role plays in which participants present data findings to a simulated executive committee
- Reflective journalling exercises prompting participants to map course concepts to their own organisational data challenges
- A personal HR Analytics Roadmap project developed incrementally throughout the week and presented on Day 5
- Facilitator-led deconstruction of published HR analytics reports and people data case studies from recognised industry sources
- Live Q&A and open discussion panels connecting course concepts to delegates' specific industry and organisational contexts
Organisational Benefits
- Improved quality of HR decisions grounded in evidence rather than intuition or anecdote
- Reduced voluntary attrition through early identification of flight-risk employees and targeted retention interventions
- More accurate workforce planning leading to optimal headcount levels and reduced overstaffing or talent shortages
- Stronger business case preparation for HR investments in learning, benefits, and talent acquisition
- Enhanced credibility of the HR function as a strategic partner at the executive and board level
- Faster identification of diversity, equity, and inclusion gaps through structured demographic and pay-equity analysis
- Improved ROI tracking for training and development programmes through pre- and post-measurement frameworks
- A culture of continuous improvement in HR operations driven by regular performance data review
- Reduced compliance risk through better monitoring of labour law obligations, absenteeism patterns, and grievance trends
- Organisation-wide data literacy uplift as HR champions evidence-based people management practices
Where Is Data-Driven HR: Leveraging HR Analytics Training Offered?
This course runs in-person across: Johannesburg, Nairobi, Dubai, Kigali, Lagos, Arusha, Naivasha, Pretoria, Abuja, Nakuru, Addis Ababa, Kisumu, Riyadh, Zanzibar, Kampala, Mombasa, Cape Town, Dar es Salaam, Accra, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Johannesburg, South Africa |
In-Person |
5 Oct 2026 – 9 Oct 2026 |
USD 3,500 |
| Nairobi, Kenya |
In-Person |
5 Oct 2026 – 9 Oct 2026 |
KES 105,000 |
| Dubai, United Arab Emirates |
In-Person |
12 Oct 2026 – 16 Oct 2026 |
USD 4,100 |
| Kigali, Rwanda |
In-Person |
12 Oct 2026 – 16 Oct 2026 |
USD 1,900 |
| Live Virtual |
Online |
17 Oct 2026 – 8 Nov 2026 |
KES 80,000 |
| Lagos, Nigeria |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,500 |
| Arusha, Tanzania |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,100 |
| Naivasha, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 115,000 |
| Pretoria, South Africa |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 3,300 |
| Abuja, Nigeria |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,800 |
| Nakuru, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 120,000 |
| Addis Ababa, Ethiopia |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
USD 2,400 |
| Kisumu, Kenya |
In-Person |
19 Oct 2026 – 23 Oct 2026 |
KES 120,000 |
| Live Virtual |
Online |
19 Oct 2026 – 23 Oct 2026 |
KES 80,000 |
| Riyadh, Saudi Arabia |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 4,500 |
+235 more dates — view live schedule →
Frequently Asked Questions
Do I need a background in statistics or data science to attend this course?
No advanced statistical background is required. The programme is designed to build analytical skills step by step, starting from foundational concepts. Participants need only a basic familiarity with spreadsheet applications such as Microsoft Excel.
What tools will we use during the hands-on exercises?
The primary tools used are Microsoft Excel and Microsoft Power BI, both of which are widely available in most organisations. Where delegates have access to other BI or HRIS platforms, facilitators can discuss how concepts translate to those environments.
Will I receive a certificate upon completing the course?
Yes. All delegates who attend and complete the full five-day programme receive a TrainingComplex Certificate of Completion in Data-Driven HR: Leveraging HR Analytics, which can be included in professional portfolios and CPD records.
Is this course suitable for someone who is new to the HR function?
The course is pitched at the intermediate level and is best suited to professionals with at least two years of HR or people management experience. Those who are very new to HR may find some workforce planning and metrics concepts challenging without that foundational context.
Can my organisation send a team of HR staff to attend together?
Absolutely. Group bookings are encouraged, as attending as a team allows organisations to align on a shared analytics vocabulary, work on real internal datasets during exercises, and leave with a jointly developed HR analytics roadmap. TrainingComplex also offers customised in-house delivery for organisations with larger groups.
