HR Analytics using SQL and Power BI

Project Title: HR Data Analytics and Visualization Using SQL and Power BI Project Overview: The HR Analytics project aims to provide comprehensive insights into employee data to support HR teams in data-driven decision-making. By analyzing various metrics related to employee performance, demographics, attrition, and satisfaction, the project seeks to identify trends and patterns that can help improve employee retention, engagement, and productivity. Key Objectives: Employee Attrition Analysis Description: Analyze employee turnover rates and identify factors contributing to attrition, such as tenure, age, department, and performance ratings. Goal: To reduce attrition by identifying at-risk employees and formulating retention strategies. Performance Evaluation Metrics Description: Evaluate employee performance across different departments and job roles, using metrics like performance ratings, goal achievement rates, and skill assessments. Goal: Support career development by highlighting top performers and identifying areas for skill development. Hiring and Recruitment Insights Description: Analyze recruitment data to understand hiring patterns, the effectiveness of sourcing channels, time-to-fill vacancies, and quality of hire. Goal: Optimize recruitment strategies and reduce hiring costs by identifying the best-performing channels. Employee Satisfaction and Engagement Description: Measure employee satisfaction and engagement levels through survey data, work-life balance metrics, and feedback. Goal: Increase employee engagement and satisfaction, directly impacting productivity and morale. Diversity and Inclusion Metrics Description: Examine workforce diversity across various categories such as gender, ethnicity, and age to ensure an inclusive environment. Goal: Foster an inclusive workplace by identifying diversity gaps and monitoring progress over time. Data Sources: Employee Records Database (SQL) HR Management System for real-time HR metrics Employee Surveys and Feedback for qualitative insights Analytical Tools and Techniques: SQL for Data Extraction and Transformation Used for querying large datasets to extract relevant HR data and perform initial cleaning and aggregation. Power BI for Visualization and Reporting Interactive dashboards showcasing key HR metrics for insights on attrition, performance, recruitment, and diversity. Project Workflow: Data Collection and Extraction Retrieve employee data from various databases and sources using SQL. Data Cleaning and Preprocessing Process the data by handling missing values, outliers, and inconsistencies to prepare it for analysis. Data Modeling and Analysis Model data to analyze patterns and trends in key HR metrics, using Power BI for visual exploration and SQL for complex aggregations. Dashboard Creation Design Power BI dashboards to visualize HR KPIs, including attrition rates, performance distributions, diversity stats, and employee engagement scores. Insights and Recommendations Derive actionable insights and make recommendations to improve retention, enhance recruitment strategies, and foster an inclusive culture. Sample Power BI Dashboard Features: Attrition Heatmap: Highlights departments or roles with high attrition rates, allowing HR teams to address issues proactively. Performance Distribution: Visuals that display employee performance ratings across different departments. Hiring Funnel: A step-by-step visualization of the recruitment process, showing stages with the highest drop-off rates. Diversity Analysis: A breakdown of diversity metrics by department and role. Employee Satisfaction: A trend analysis of satisfaction scores to monitor changes over time. Expected Outcomes: Informed HR Decisions: Data-driven insights to help HR professionals make strategic decisions. Improved Retention: Identification of key factors behind attrition, leading to more effective retention strategies. Enhanced Recruitment Process: Understanding of recruitment bottlenecks, leading to streamlined hiring. Boosted Employee Engagement: Insights into satisfaction and engagement, facilitating a more engaged workforce. Diverse and Inclusive Culture: Monitoring of diversity metrics ensures a fair and inclusive work environment. The expected timeline for the project is within 1-3 months. The final dashboard should include detailed drill-downs for in-depth analysis of specific HR metrics. The final deliverables should include interactive dashboards with filters, drill-downs, and real-time updates.