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HR Analytics Dashboard

📊 Project Overview

The HR Analytics Dashboard is an interactive Power BI solution designed to analyze and monitor employee attrition across different departments. It provides valuable insights into workforce patterns, helping organizations make data-driven HR decisions to improve employee retention and performance.

🏢 Departments Covered

  • Human Resource
  • Sales
  • Research & Development (R&D)

🔑 Key Features & KPIs

  • Overall Attrition Rate – Track total percentage of employees leaving
  • Attrition by Department – Compare HR, Sales, and R&D
  • Attrition by Age – Identify trends in younger vs. experienced workforce
  • Attrition by Salary – Analyze retention across salary bands
  • Attrition by Education – Understand impact of education levels on attrition
  • Attrition by Years of Experience – Spot patterns in early career vs. long-tenured employees
  • Interactive Filters & Drilldowns – Explore attrition from multiple dimensions

🎯 Business Value

  • Helps HR managers identify key drivers of attrition
  • Supports strategic workforce planning by department
  • Provides insights to design better retention policies
  • Enables leadership to take data-backed decisions for employee engagement

🛠️ Tools & Technologies

  • Power BI – For data visualization and dashboard design
  • Excel / CSV – For data cleaning and preprocessing
  • SQL (optional) – For querying and preparing datasets

🚀 How to Use

  1. Clone this repository
  2. Open the .pbix file in Power BI Desktop 1
  3. Connect to the dataset (CSV/Excel)
  4. Explore interactive visuals and KPIs

📸 Dashboard Preview

HR Analytics Dashboard Screenshot)

📌 Conclusion

This dashboard helps organizations gain a deeper understanding of employee attrition patterns across departments, empowering HR teams to build strategies that reduce turnover and improve retention.

📬 Contact

Created by Khushi Gupta
📧 khushiguptamay21@gmail.com
🔗 LinkedIn
📂 More Projects

About

An interactive Power BI dashboard that visualizes monthly and YTD sales, top-performing regions, and category-wise performance. Built using DAX measures, Power Query, and dynamic slicers for business insights.

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