This project focuses on analyzing job salary data across multiple industries and companies. Using Python (Pandas, Matplotlib, Seaborn, Excel) for data cleaning and preprocessing, and Power BI for visualization, I built an interactive Jobs Salary Analysis Dashboard.
Key features include:
Job Title Distribution: Breakdown of roles such as Data Scientist, Senior Data Engineer, Business Intelligence Analyst, etc.
Salary Insights: Average salary estimates, budget allocation per company, and salary distribution by sector.
Company & Industry Analysis: Number of jobs by company size, sector, and industry type.
Performance & Ratings: Average rating of companies and comparison across different industries.
Top Companies: Highlighting organizations with the highest job counts and budgets.
The dashboard provides clear, data-driven insights for understanding salary trends, industry demands, and company performance, supporting decision-making for job seekers, recruiters, and HR teams.