Tools Used:
Objective:
- R (statistical modeling), Excel, Data Visualization, Hypothesis Testing, KPI Analysis.
Objective:
- Conducted workforce analytics and salary trend analysis to identify key factors influencing compensation in the tech sales industry.
- Evaluated the impact of education, gender, and experience on salary distribution using statistical testing and data visualization.
Data & Methodology:
- Utilized a dataset of 21,990 tech sale representatives to analyze salary disparities based on education level, gender, and job experience.
- Performed hypothesis testing (t-tests, proportion tests) to assess salary differences between employees with and without college degrees.
- Applied R to develop workforce analytics visualizations, highlighting key compensation trends.
Key Analysis & Insights:
- Found a statistically significant salary difference.
- Conducted a one-sample proportion test.
- Performed a paired dependent t-test.
Workforce Analytics & Salary Trends-Tech Sales Industry
