Skip to content

Amala-1304/Amala-1304-HR-Employee-Distribution-Report-SQL-Power-BI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Amala-1304-HR-Employee-Distribution-Report-SQL-Power-BI

Questions for Report

What is the gender breakdown of employees in the company?

What is the race/ethnicity breakdown of employees in the company?

What is the age distribution of employees in the company?

How many employees work at headquarters versus remote locations?

What is the average length of employment for employees who have been terminated?

How does the gender distribution vary across departments and job titles?

What is the distribution of job titles across the company?

Which department has the highest turnover rate?

What is the distribution of employees across locations by city and state?

How has the company's employee count changed over time based on hire and term dates?

What is the tenure distribution for each department?

Summary of Findings

There are more male employees

White race is the most dominant while Native Hawaiian and American Indian are the least dominant.

The youngest employee is 20 years old and the oldest is 57 years old

5 age groups were created as 18-24, 25-34, 35-44, 45-54, 55-64. A large number of employees were between 25-34 followed by 35-44 while the smallest group was 55-64.

75% of employees are working at the headquarters versus 25% are at remotely.

The average length of employment for terminated employees is around 8 years.

The gender distribution across departments is fairly balanced but there are generally more male than female employees.

Auditing, Training,and Legal department has the highest turnover rate. Marketing and Business Development has least turnover rate.

A large number of employees are from Ohio state.

The net change in employees has increased over the years.

The average tenure for each department is about 8 years with Accounting, Auditing, and Engineering having the highest and Legal, and Product Management having the lowest.

Limitation in the analysis

Some records had negative ages and these were excluded during querying. Ages used were 18 years and above (age>=18).

Some termdates were far into the future and were not included in the analysis. The only term dates used were those less than or equal to the current date.

Data Used

HR Data with over 2200 rows

MySQL Workbench used for Data Cleaning and Analysis

Power BI used for Data Visualization

Releases

No releases published

Packages

No packages published