Employee-Performance-Analysis in SQL

The case study was conducted to determine employee sales analysis to evaluate the performance of individual employees, sales patterns, and regional performance while leveraging SQL for analysis to make data-driven decisions based on the results.

Problem Statement

To Analyze the employees' sales performance to identify top performers, sales trends over time, regional variations in employees' sales performance, and factors influencing success.

Objectives

1. Employee Performance Metrics:

   • Who are the top-performing employees based on total sales amount?
   • What is the average sale amount for each employee?
   • Which employees have the highest number of sales transactions?
   • Are there employees with a few high-value sales or many smaller sales?
   • How has the sales performance of individual employees evolved?

2. Sales Trends Analysis:

   • What are the overall sales trends over time?
   • Are there specific months or periods with higher sales?
   • How do the sales amounts in USD and EUR compare over time?

3. Regional Sales Patterns:

   • Which regions have the highest total sales in USD and EUR?
   • Are there differences in sales performance across regions?
   • Are certain employees more successful in specific regions?
   • Are there regions that are consistently underperforming?

4. Sales Conversion Rates:

   • What is the employee average time between the sale and closing date?
   • Are there differences in conversion rates (closing time) between employees?

Assumptions

While conducting the employee performance analysis, several assumptions were considered:

• The period for the case study is meaningful and appropriate. Using different periods may yield different results
• No employee left the organization while the case study was being conducted
• The sample size is sufficient to draw meaningful conclusions