Hr Analytics

This Power BI dashboard is an HR Analytics Dashboard that displays key metrics related to employee demographics, attrition rates, and performance tracking. Here’s a detailed breakdown of each section:

1. Top Summary Section:

- Total Employees: 961

- Active Employees: 828

- Inactive Employees: 133

- Attrition Rate: 13.8%

2. Charts for Employee Status by Year:

- Shows the total, active, and inactive employees over different years from 2012 to 2022

- Visualizes trends of employee status changes across the years

3. Employee Breakdown by Department and Job Role:

- Compares the number of active employees in different roles such as software engineer, data scientist, machine learning engineer, and others

4. Marital Status Breakdown:

- Pie chart showing the percentage of employees based on marital status (married, single, divorced)

5. Age, Gender, and Ethnicity Insights:

- Displays the youngest and oldest employees

- Bar charts breaking down employees by age groups and gender

- Another chart shows employees by ethnicity along with their average salaries

6. Geographical Representation:

- A map highlighting the total number of employees by state in the U.S.

7. Attrition Rate Analysis:

- Attrition rate by department and job role (sales, human resources, technology)

- Attrition rate based on employee experience (less than a year, 1-3 years, more than 3 years)

- A line chart shows attrition rate trends over the years from 2012 to 2022

8. Work-Life Balance and Satisfaction Metrics:

- A section that measures environmental satisfaction, relationship satisfaction, and job satisfaction over the years for employees in different departments and job roles

- The work-life balance and manager rating are plotted over time to show trends and improvements

9. Filters for Detailed Analysis:

- Filters for gender, department, and job role to adjust the data views based on these criteria

Overall, the dashboard is highly interactive, offering detailed insights into employee demographics, satisfaction, and attrition trends across multiple years and categories.