IBM HR Analytics Dashboard

📊 Project Overview

A comprehensive Power BI dashboard designed to analyze and visualize employee attrition patterns within IBM's workforce. This project provides actionable insights into retention challenges, helping HR teams identify at-risk employee segments and develop targeted retention strategies.

🎯 Key Objectives

• Analyze employee attrition rates across multiple dimensions
• Identify high-risk departments and job roles
• Understand demographic patterns in employee turnover
• Provide data-driven recommendations for retention strategies
• Visualize tenure and career progression patterns

📈 Key Metrics

• Total Employees: 1,470
• Attrition Count: 237 employees
• Attrition Rate: 16.12%
• Average Salary: $6,500
• Average Tenure: 7 years

🔍 Dashboard Features

• Executive summary cards displaying key metrics
• Education field analysis
• Job level distribution
• Tenure trends over years
• Job role attrition patterns
• Marital status distribution
• Gender-based attrition
• Age group analysis
• Job involvement levels
• Attrition breakdown by department
• Age range segmentation

📸 Screenshots

Dashboard - Page 1

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Dashboard - Page 2

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💡 Key Insights

Critical Findings

1. High Entry-Level Attrition

   • 60% of attrition occurs at Job Level 1
   • First-year employees show highest turnover (59 employees)

2. Departmental Challenges

   • R&D department: 133 employees (56% of total attrition)
   • Sales department: 92 employees (39% of total attrition)

3. Demographic Patterns

   • Younger employees (18-25): Highest attrition rate (100 employees)
   • Male employees: 63% of total departures
   • Single employees: 50.6% of attrition

4. Role-Specific Issues

   • Laboratory Technicians: 26.2% of attrition
   • Sales Executives: 24.1% of attrition
   • Research Scientists: 19.8% of attrition

5. Education Background

   • Life Sciences: 89 employees leaving
   • Medical field: 63 employees leaving

🎯 Recommendations

Immediate Actions

• Enhance first-year onboarding programs
• Implement retention bonuses for entry-level positions
• Review compensation for Laboratory Technicians and Sales roles
• Conduct comprehensive exit interviews

Strategic Initiatives

• Develop clear career progression frameworks
• Create mentorship programs for new hires
• Implement quarterly engagement surveys
• Build specialized retention programs for technical roles

🛠️ Tools & Technologies

• Power BI Desktop - Dashboard creation and data visualization
• DAX - Data Analysis Expressions for calculations
• Power Query - Data transformation and cleaning

🚀 Getting Started

Prerequisites

• Power BI Desktop (latest version)
• Basic understanding of HR metrics
• Familiarity with data visualization concepts

Installation

1. Clone the repository

git clone https://github.com/ziedidorsaf/IBM-HR-Analytics.git

2. Open Power BI Desktop

3. Open the .pbix file

4. Refresh data connections if needed

5. Explore the interactive dashboard

📊 Data Sources

The dashboard analyzes HR data including:

• Employee demographics (age, gender, marital status)
• Employment details (department, job role, tenure)
• Education background
• Salary information
• Attrition status