Omar Ibrahim Elashry (Data Analyst & Business Development Manager)
LinkedIn: https://www.linkedin.com/in/omar-ibrahimelashry
Email: omarelashry27@gmail.com
This project presents a comprehensive human resources analytics dashboard designed to monitor key workforce metrics, including employee count, attrition rates, demographic distributions, job role performance, and compensation trends. The dashboard supports strategic HR decision-making by identifying risk areas and patterns in employee turnover.
• Database from (Kaggle)
• Data visualization tool (Microsoft Power BI)
• Data aggregation and cleaning (Microsoft Excel, Python Programming Language)
• Total Employees: 1,416
• Overall Attrition Rate: 16.2%
• Highlights a significant turnover level requiring further investigation and retention strategies.
####2. Attrition Analysis by Gender
• Male attrition: 136
• Female attrition: 76
• Indicates higher turnover among male employees, suggesting potential gender-specific workplace factors.
• Highest attrition observed in Laboratory Technicians (60) and Sales Representatives (55).
• Roles like Research Director (2) and Manager (5) show very low turnover.
• Useful for targeting retention efforts toward high-attrition roles.
• Visualizes employee distribution by education level and department.
• Largest department: Medical (229).
• Supports workforce planning and hiring alignment with educational backgrounds.
• Up to 5k: 158 employees left
• 5k–10k: 48
• 10k–15k: 18
• 15k+: 5
• Compares tenure across roles such as Manager, Researcher, Healthcare, and Sales Executive.
• Helps identify roles with shorter average tenure, which may indicate burnout or lack of growth.
• Medical (25%) and Marketing (15%) account for the largest share of attrition.
• Other (5%) shows the lowest.
• Enables targeted retention programs for high-attrition education groups.
• Provides clear visibility into attrition drivers by gender, role, salary, and education
• Supports retention strategy development and workforce planning
• Helps identify high-risk employee segments for proactive intervention
• Enables data-driven HR policies to reduce turnover costs