Skip to content

About

Oracle SQL project for employee workforce, salary analytics, data cleaning, reporting, and database management.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Latest commit

 

History

2 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 

Repository files navigation

Employee Workforce & Salary Analytics System

Project Overview

An Oracle SQL project to store, clean, and analyze employee workforce and salary data.

The project starts with Excel/CSV data and converts it into a structured relational database for business reporting.

Technologies

  • Oracle SQL
  • Oracle SQL Developer
  • Excel / CSV
  • VS Code
  • Git & GitHub
  • Jira / Scrum

Main Features

  • Raw data import and validation
  • Data cleaning and duplicate removal
  • Department, Job Role and Location master tables
  • Employee Master table
  • Salary History tracking
  • Primary Key and Foreign Key constraints
  • Salary and workforce analysis
  • SQL joins, subqueries, CTEs and window functions
  • Reporting views
  • Indexes and execution plan analysis
  • Final data validation

Database Tables

  • EMPLOYEE_RAW
  • EMPLOYEE_CLEAN
  • EMPLOYEE_MASTER
  • DEPARTMENT
  • JOB_ROLE
  • LOCATION
  • SALARY_HISTORY

Project Workflow

Excel/CSV → Data Quality Check → Data Cleaning → Database Design → Oracle Tables → SQL Analysis → Reporting Views → Testing & Validation

Dataset

  • Raw Records: 200
  • Final Records: 199
  • Departments: 8
  • Job Roles: 25
  • Locations: 8

Key SQL Analysis

  • Department-wise employee count
  • Average and total salary
  • Highest-paid employees
  • Employees above company average
  • Top employees by department
  • Salary history analysis
  • Hiring trends
  • Workforce by location and status

Purpose

This is a personal portfolio project created to gain practical experience in SQL Developer work, database design, data cleaning, reporting, Git/GitHub, and Agile workflow.

About

Oracle SQL project for employee workforce, salary analytics, data cleaning, reporting, and database management.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors