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HR Analytics Dashboard using Power BI
Subject area: Science,Engineering and Technology · Area of research: Data Extraction, Data Visualization Using Power BI
Abstract
Employee attrition is a major challenge for organizations, affecting workforce stability, productivity, and operational costs. Understanding the reasons behind employee turnover is crucial for HR departments to develop effective retention strategies. This project focuses on creating an HR Analytics Dashboard using Power BI to analyze employee attrition trends and provide data-driven insights. The dashboard integrates various employee attributes, including age, job role, education level, salary slabs, experience in the company, and gender, to identify key factors influencing attrition. By leveraging interactive data visualizations, HR professionals can explore patterns and correlations that contribute to employee turnover. The attrition rate analysis helps in determining the percentage of employees leaving the company, while demographic insights highlight trends related to age, gender, and education level. Salary and experience trends provide an understanding of how compensation and tenure impact attrition, whereas job role-based analysis identifies positions with the highest turnover rates. The primary objective of this project is to provide HR professionals with a comprehensive and visually intuitive tool to analyze attrition trends, identify risk factors, and support data-driven decision-making to improve employee retention. By utilizing Power BI, this project demonstrates how business intelligence and analytics can be applied to human resource management to optimize workforce planning and minimize attrition.
How to cite this paper
@article{1708033,
author = {Shubham Dhananjay Kokane, Sakshi Milind Gole, Shreya Sandeep Dhuri, Aayushi Pradeep Srivastava},
title = {HR Analytics Dashboard using Power BI},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {890-895},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708033.pdf},
abstract = {Employee attrition is a major challenge for organizations, affecting workforce stability, productivity, and operational costs. Understanding the reasons behind employee turnover is crucial for HR departments to develop effective retention strategies. This project focuses on creating an HR Analytics Dashboard using Power BI to analyze employee attrition trends and provide data-driven insights. The dashboard integrates various employee attributes, including age, job role, education level, salary slabs, experience in the company, and gender, to identify key factors influencing attrition. By leveraging interactive data visualizations, HR professionals can explore patterns and correlations that contribute to employee turnover. The attrition rate analysis helps in determining the percentage of employees leaving the company, while demographic insights highlight trends related to age, gender, and education level. Salary and experience trends provide an understanding of how compensation and tenure impact attrition, whereas job role-based analysis identifies positions with the highest turnover rates. The primary objective of this project is to provide HR professionals with a comprehensive and visually intuitive tool to analyze attrition trends, identify risk factors, and support data-driven decision-making to improve employee retention. By utilizing Power BI, this project demonstrates how business intelligence and analytics can be applied to human resource management to optimize workforce planning and minimize attrition.},
month = {April},
}