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Employee Demographics and Compensation Analysis

This repository contains an analysis of employee demographics, leave balances, and compensation data. The insights provide a comprehensive view of workforce distribution, qualifications, and salary trends, helping in strategic HR management and policy development.

Screenshot 2024-11-06 at 2 39 16 AM

Overview

The report covers key metrics on employee demographics, educational qualifications, gender distribution, job roles, and salary progression, offering valuable insights for human resource planning.

Key Insights

1. Employee Demographics

  • Gender Distribution: 55% female and 45% male employees.
  • Age Distribution: Majority of employees are within the 25-35 age range.
  • Educational Qualifications: Most employees hold either a Bachelor’s Degree or High School Diploma.

2. Leave Balance

  • Trend: The percentage of total leave balance peaked around 2021 but declined by 2023.

3. Job Title Distribution

  • Common roles include Packaging Associate, Production Operator, Sales Representative, and Quality Control.
  • Higher-level positions such as Product Manager and Marketing Manager have fewer employees.

4. Salary Analysis

  • Salary by Qualification: Median salary is highest for employees with a Bachelor’s Degree and lowest for those with a High School Diploma.
  • Job Role Salaries: Salary increases significantly with roles like Product Manager and Marketing Manager, peaking at around $82.8K.

Usage

This report can be used to:

  1. Understand Workforce Composition: Assist in recruitment and retention based on age, gender, and qualifications.
  2. Optimize Compensation Structures: Align salary bands with educational levels and job roles.
  3. Leave Management: Monitor leave balance trends to inform policy adjustments.

Future Improvements

  • Detailed Role Analysis: Further breakdown of job functions by department or skill.
  • Diversity & Inclusion Metrics: Adding data on diversity metrics for more inclusive hiring.
  • Historical Trends: Examining data over multiple years to identify trends in hiring, compensation, and retention.

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