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https://github.com/navp7/hr_analysis_excel

This project utilizes Microsoft Excel to conduct a comprehensive analysis of HR data, focusing on identifying the various reasons for employee attrition and evaluating job satisfaction
https://github.com/navp7/hr_analysis_excel

dashboards data-analysis excel visualization

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This project utilizes Microsoft Excel to conduct a comprehensive analysis of HR data, focusing on identifying the various reasons for employee attrition and evaluating job satisfaction

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# HR Analysis Dashboard - Excel

![Excel](https://img.shields.io/badge/Excel-Data%20Analysis-green) ![GitHub](https://img.shields.io/badge/GitHub-Project%20Repository-blue)



## Overview



Welcome to the HR Analysis Dashboard project for XYZ Company . This project utilizes Microsoft Excel to conduct a comprehensive analysis of HR data, focusing on identifying the various reasons for employee attrition and evaluating job satisfaction. The dashboard aims to provide valuable insights for improving employee retention and satisfaction.



![Dashboard](https://github.com/navp7/HR_Analysis_Excel/blob/main/Dashboard-hr.png)



## Table of Contents



- [Project Description](#project-description)

- [Features](#features)

- [Data Sources](#data-sources)

- [Analysis Details](#analysis-details)



## Project Description



The HR Analysis Dashboard project is designed to analyze HR metrics such as employee attrition and job satisfaction. By leveraging Excel’s powerful data analysis and visualization tools, this project aims to uncover patterns and trends that can inform strategic HR decisions and improve overall employee experience.



## Features



- **Attrition Analysis**: Identify key reasons for employee attrition based on gender, education, job profile, age, and marital status.

- **Job Satisfaction Analysis**: Assess job satisfaction levels across different factors such as department, job role, and demographic attributes.

- **Interactive Dashboards**: Utilize Excel’s interactive features for dynamic data exploration and visualization.

- **Detailed Reporting**: Generate comprehensive reports on HR metrics and trends.



## Data Sources



The data used in this project includes:

- **Employee Data**: Information about employees including gender, age, education, marital status, job profile, hire date, and exit date.

- **Job Satisfaction Data**: Employee responses to job satisfaction surveys covering various aspects of their job experience.

- **Attrition Data**: Records of employees who have left the company.



### Dashboard Summary



- An overview of key HR metrics and trends.

- Detailed analysis of employee attrition.

- Insights into job satisfaction levels.

- Breakdown of employees by gender, age, education, and marital status.



### Interact with Filters:

- **Filters**: Use the slicers and filters provided to interactively explore the data.

- **Refresh Data**: If you update the data, use the `Data > Refresh All` option to refresh all pivot tables and charts.



## Analysis Details



### Attrition Analysis

- **Gender**: Analyze attrition rates for Male is 17% and for Female is 14.8%

- **Education**: Employees from Human Resources education background influences attrition by 26%

- **Department Profile**: Employees from department of 'Sales' have higher attrition rates.

- **Age**: Employee from age group 25-34 had highest number of attrition.

- **Marital Status**: Employee with marital status as 'Single' had highest number of attrition.



### Job Satisfaction Analysis

- **Department Wise**: 

   - Sales - 2.8/5

   - HR - 2.6/5

   - R&D - 2.7/5



- **Job Role**: Top 3 job roles which contributes for higher attrition are:

   - Laboratory Technician

   - Sales Executive

   - Research Scientist