Introduction

In today's competitive talent landscape, human resources is no longer just an administrative function but a strategic imperative, making Business Intelligence (BI) for HR Analytics an indispensable capability for organizations to attract, develop, and retain top talent, optimize workforce performance, and drive strategic HR decisions. By transforming raw HR data into actionable insights, BI empowers HR professionals to move beyond intuition, predict future trends (e.g., turnover, hiring needs), identify key drivers of employee engagement, and measure the impact of HR initiatives on overall business success. This training course is meticulously designed to equip HR professionals, HR analysts, data analysts, talent acquisition specialists, compensation and benefits managers, and business leaders with cutting-edge knowledge and practical skills in understanding core HR metrics and KPIs, mastering data collection and integration from various HR systems, leveraging leading BI tools for workforce analysis and visualization, exploring predictive analytics for HR challenges, and effectively communicating HR insights to drive organizational strategy and foster a high-performing culture. Participants will gain a comprehensive understanding of how to harness the power of data to elevate HR from a support function to a strategic business partner.

Duration

10 days

Target Audience

• HR Professionals (Generalists, Business Partners)
• HR Analysts
• Talent Acquisition Specialists
• Compensation & Benefits Managers
• Learning & Development Specialists
• Data Analysts (with an HR focus)
• Business Leaders & Managers (interested in workforce insights)
• OD (Organizational Development) Professionals
• HRIS (Human Resources Information Systems) Specialists
• Anyone involved in HR strategy and decision-making

Objectives

• Understand the fundamental concepts of HR analytics and its strategic importance.
• Master key HR metrics and KPIs across various HR functions.
• Learn to identify, collect, and integrate data from diverse HR systems.
• Develop proficiency in using BI tools to analyze workforce data and create compelling visualizations.
• Understand employee lifecycle analytics, from recruitment to exit.
• Explore predictive analytics for HR challenges (e.g., turnover, hiring needs).
• Develop skills in designing and building interactive HR dashboards and reports.
• Learn about data privacy, security, and ethical considerations in HR analytics.
• Understand how to communicate HR insights effectively to business stakeholders.
• Formulate strategies for implementing and scaling HR analytics initiatives.
• Apply BI for HR analytics to drive strategic HR decisions and improve organizational performance.

Course Content

Module 1. Introduction to HR Analytics and its Strategic Value

• Defining HR Analytics: Beyond traditional HR reporting
• The strategic importance of data-driven HR decisions
• Connecting HR to Business Outcomes: Impact on profitability, productivity, innovation
• Challenges and opportunities in HR data
• Overview of common HR analytics use cases

Module 2. Core HR Metrics and KPIs

• Workforce Demographics: Headcount, diversity, age, tenure
• Recruitment Metrics: Time to hire, cost per hire, offer acceptance rate
• Retention & Turnover Metrics: Voluntary/involuntary turnover, regrettable loss
• Performance Metrics: Performance ratings, goal achievement
• Compensation & Benefits Metrics: Pay equity, benefits utilization

Module 3. Data Sources and Integration for HR Analytics

• HRIS/HRMS Systems: Workday, SAP SuccessFactors, Oracle HCM, ADP
• Applicant Tracking Systems (ATS): Greenhouse, Workable
• Learning Management Systems (LMS): Cornerstone, Saba
• Survey Data: Employee engagement surveys, exit surveys
• Integrating disparate HR data sources for a unified view

Module 4. Data Preparation and Transformation for HR Data

• Cleaning HR Data: Handling missing values, inconsistencies, data entry errors
• Standardizing HR Data: Job titles, departments, locations
• Building HR data models: Employee master, organizational hierarchy
• Using Power Query (or equivalent) for HR data ETL
• Ensuring data quality for HR analytics

Module 5. Workforce Demographics and Diversity Analytics

• Analyzing Headcount Trends: Growth, distribution by department/location
• Diversity & Inclusion (D&I) Metrics: Gender, ethnicity, age group analysis
• Visualizing workforce composition and trends
• Identifying D&I gaps and opportunities
• Reporting on D&I initiatives

Module 6. Recruitment and Talent Acquisition Analytics

• Analyzing Recruitment Funnel: Stages, conversion rates
• Source of Hire Analysis: Most effective channels
• Time to Hire and Cost per Hire optimization
• Candidate experience metrics
• Visualizing recruitment performance KPIs

Module 7. Employee Retention and Turnover Analytics

• Calculating Turnover Rates: Overall, voluntary, involuntary, regrettable
• Identifying Drivers of Turnover: Exit survey analysis, manager impact
• Predicting employee flight risk (introduction to predictive models)
• Analyzing retention by department, manager, tenure
• Visualizing retention trends and hotspots

Module 8. Performance Management Analytics

• Analyzing Performance Ratings Distribution: Bell curve, forced ranking
• Goal Achievement Tracking: Alignment with strategic objectives
• Identifying high performers and low performers
• Correlation between performance and other HR metrics (e.g., compensation, training)
• Visualizing performance trends and gaps

Module 9. Compensation and Benefits Analytics

• Pay Equity Analysis: Identifying gender/ethnicity pay gaps
• Compensation Benchmarking: Comparing against market data
• Benefits Utilization Analysis: Understanding employee engagement with benefits
• Total Rewards Statements visualization
• Impact of compensation on retention and performance

Module 10. Learning and Development (L&D) Analytics

• Training Participation Rates: By department, role
• Training Effectiveness Metrics: Pre/post-assessment scores, skill development
• Impact of L&D on performance and retention
• ROI of training programs
• Visualizing learning pathways and skill gaps

Module 11. Employee Engagement and Culture Analytics

• Analyzing Employee Survey Data: Engagement scores, sentiment analysis
• Identifying key drivers of engagement
• Linking engagement to business outcomes (e.g., productivity, customer satisfaction)
• Visualizing engagement trends over time
• Action planning based on engagement insights

Module 12. Designing HR Dashboards and Reports

• Key Performance Indicators (KPIs) for various HR functions
• Designing executive HR dashboards for strategic overview
• Departmental dashboards for operational HR insights
• Creating interactive and drillable HR reports
• Best practices for visual storytelling in HR analytics

Module 13. Predictive Analytics for HR (Introduction)

• Predicting Employee Turnover: Using historical data to identify at-risk employees
• Forecasting Hiring Needs: Based on business growth and attrition
• Predicting High Potential Employees
• Introduction to simple predictive models (e.g., regression, classification)
• Interpreting predictive outputs for HR decisions

Module 14. Data Privacy, Security, and Ethics in HR Analytics

• HR Data Privacy Regulations: GDPR, CCPA, PII (Personally Identifiable Information)
• Data Anonymization and Pseudonymization
• Data Security Best Practices for sensitive HR data
• Ethical Considerations in HR Analytics: Bias, fairness, discrimination
• Ensuring compliance and building trust in HR data

Module 15. HR Analytics Strategy and Future Trends

• Building an HR Analytics Roadmap: Phased approach, quick wins
• Fostering a Data-Driven HR Culture: Training, leadership buy-in
• The evolving role of the HR Business Partner with analytics
• AI and Machine Learning in HR: Automated recruitment, personalized learning
• Real-time HR analytics and continuous monitoring of workforce trends.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.