Training on Data Analytics for Human Resource Managers using Power BI

This comprehensive training empowers HR professionals with the analytical and technical skills needed to harness Power BI for workforce intelligence and evidence-based decision-making. Participants will learn to collect, transform, visualize, and interpret HR data to uncover insights that drive strategic initiatives in recruitment, performance, and retention. Through guided exercises, participants will build interactive HR dashboards and apply analytics techniques to make informed decisions that align people strategy with organizational goals.

Duration

5 Days

Who Should Attend

• HR Managers, Executives, and Business Partners

• HR Analysts and Data Officers

• Learning & Development and Talent Management Professionals

• HRIS and Workforce Planning Specialists

• Any professional involved in HR reporting and analytics

Organizational Impact

• Enhances HR’s role in strategic business planning through data insights.

• Improves decision-making with real-time analytics and visual reports.

• Increases efficiency in HR operations through automated dashboards.

Individual Impact

• Builds advanced HR analytics and visualization capabilities.

• Strengthens analytical confidence for evidence-based HR leadership.

• Enables professionals to convert raw HR data into actionable intelligence.

By the end of this training, participants will be able to:

• Collect, clean, and prepare HR data for analysis using Power BI tools.

• Develop HR dashboards and reports for recruitment, retention, and performance.

• Apply HR analytics to forecast trends and optimize workforce planning.

• Leverage data storytelling to communicate HR insights effectively.

• Integrate Power BI into strategic HR decision-making processes.

Module 1: Introduction to HR Analytics and Power BI

• Understanding HR analytics and its strategic importance.

• Overview of Power BI features, components, and interface.

• Connecting HR datasets from Excel, HRIS, and cloud sources.

• Case Study: Exploring workforce data to identify turnover patterns.

Module 2: Data Preparation and Transformation with Power Query

• Cleaning and shaping HR data for analysis.

• Combining multiple data sources (recruitment, performance, payroll).

• Managing data quality, accuracy, and consistency.

• Case Study: Integrating multi-source data for workforce diversity analysis.

Module 3: HR Metrics and Performance Measurement

• Key HR metrics: recruitment KPIs, retention rates, absenteeism, and training ROI.

• Calculating HR KPIs using DAX formulas.

• Analyzing performance and engagement data.

• Case Study: Developing KPIs to monitor employee engagement trends.

Module 4: Building HR Dashboards and Visual Reports

• Designing interactive and dynamic HR dashboards.

• Using filters, slicers, and visuals for better data storytelling.

• Customizing dashboards for different HR functions.

• Case Study: Creating a real-time HR performance monitoring dashboard.

Module 5: Workforce Planning and Predictive HR Analytics

• Forecasting workforce needs using Power BI trends and analytics.

• Predicting turnover, training needs, and performance outcomes.

• Using Power BI to support strategic workforce planning.

• Case Study: Predicting attrition to guide recruitment planning.

Module 6: Advanced DAX for HR Analytics

• Creating calculated measures and columns for HR KPIs.

• Time intelligence and cumulative analysis for HR reporting.

• Building complex analytical models.

• Case Study: Analyzing long-term employee performance trends.

Module 7: Integrating Power BI with HR Systems and Tools

• Connecting Power BI to HRIS, payroll, and performance systems.

• Automating HR data refresh and report updates.

• Security, permissions, and data sharing best practices.

• Case Study: Streamlining HR reporting through automated updates.

Module 8: Data Visualization Best Practices for HR

• Designing impactful visuals for storytelling.

• Choosing the right charts for HR insights (heatmaps, tree maps, KPIs).

• Avoiding common visualization errors in HR analytics.

• Case Study: Visualizing training ROI and learning outcomes.

Module 9: Strategic Application of HR Analytics

• Linking HR analytics to business objectives.

• Building executive-level HR reports and dashboards.

• Using data to support diversity, inclusion, and engagement strategies.

• Case Study: Driving HR transformation through data-driven insights.

Module 10: Capstone Project and Presentation

• Applying skills to build a complete HR analytics dashboard.

• Presenting findings and recommendations using data storytelling.

• Peer review and expert feedback on analytics solutions.

• Case Study: Delivering a strategic HR analytics presentation to leadership.