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📊 HR Analytics Dashboard – Power BI

📌 Introduction

  • The HR Analytics Dashboard is built to analyze employee attrition and key workforce metrics using Power BI.
  • It helps HR teams and business leaders identify trends, understand employee behavior, and take data-driven actions to improve retention.
  • The dashboard converts raw HR data into meaningful and actionable insights.
HR Analytics Dashboard Image

📈 Key Insights from the Dashboard

👥 Workforce Overview

  • Total Employees: 1,470
  • Attrition Count: 237
  • Attrition Rate: 16.12%
  • Average Age: 37
  • Average Salary: 6.5K
  • Average Years at Company: 7

These KPIs provide a snapshot of the overall workforce.
They help identify the scale of attrition and employee demographics.
This section sets the context for deeper analysis.


🎓 Attrition by Education

Employees from Life Sciences and Medical backgrounds show the highest attrition.
Technical and Marketing backgrounds follow at moderate levels.
Education-wise analysis helps HR tailor retention strategies for specific talent pools.


🎂 Attrition by Age Group

The 26–35 age group has the highest attrition rate.
Younger professionals tend to switch jobs more frequently for growth opportunities.
Attrition decreases significantly with increasing age.


😊 Attrition by Job Satisfaction

Employees with lower job satisfaction ratings show higher attrition across roles.
This highlights the importance of engagement, recognition, and work culture.
Improving satisfaction can directly impact retention.


💼 Attrition by Job Role

Roles such as Laboratory Technician, Sales Executive, and Research Scientist face the highest attrition.
These roles may experience higher workload or competitive job markets.
Targeted role-based retention plans can reduce turnover.


💰 Attrition by Salary Slab

Employees earning up to 5K experience the highest attrition.
Attrition decreases as salary increases.
Compensation plays a crucial role in employee retention.


🕒 Attrition by Years at Company

Employees with 0–5 years of tenure show the highest attrition.
Longer tenure correlates with higher stability and loyalty.
Early employee engagement is key to reducing attrition.


🚻 Attrition by Gender

Attrition is higher among male employees compared to females.
This insight can help HR analyze role distribution and work-life balance factors.
Gender-based trends support inclusive HR policies.


✅ Conclusion

This HR Analytics Dashboard demonstrates how Power BI can uncover critical workforce trends.
By analyzing attrition across multiple dimensions, organizations can identify risk areas early.
The dashboard supports smarter, data-driven HR decisions.


About

Power BI dashboard analyzing employee attrition and key HR metrics using real-world HR data. Provides insights into workforce trends, job roles, salary slabs, age groups, and tenure to support data-driven HR decisions.

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