This repository contains a Power BI dashboard designed to analyze salaries across various data-related job roles. The dashboard aggregates and visualizes salary data based on factors such as job title, company size, company location, job category, experience level, and work year.
- Visualizes the distribution of total salaries by company size (Small, Medium, Large).
- Highlights the total salary distribution for top job titles such as Data Engineer, Data Scientist, and Machine Learning Engineer.
- Displays the geographic distribution of salaries using a map to indicate regions contributing the most to the total salary.
- Breaks down salaries by broader job categories like Data Science, Machine Learning, and Data Management.
- Shows the salary split based on experience levels (Entry-level, Mid-level, Senior, Executive).
- Tracks salary trends across years to observe growth or fluctuations in total salary distribution.
- Total Salary Analyzed: USD 1406M.
- Key trends and breakdowns provide valuable insights for stakeholders such as recruiters, job seekers, and industry analysts.
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Clone this repository:
git clone https://github.com/yourusername/data-jobs-salary-dashboard.git
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Open the
.pbixfile in Power BI Desktop. -
Interact with the dashboard by filtering data across dimensions such as job titles, locations, and experience levels.
- Software: Power BI Desktop
- Data Source: (Provide a brief description of the dataset used, or mention if it’s included or needs to be added separately.)
- Adding predictive analytics to forecast salary trends.
- Enabling real-time data updates.
- Expanding the dataset for more granular insights.
This project is licensed under the MIT License. See the LICENSE file for details.
Contributions are welcome! Feel free to submit a pull request or open an issue for suggestions or bug fixes.
For any questions or feedback, please reach out at [jatinnn21@gmail.com].