This dashboard invites you to visit the Job Variability in the world of Data Science and explore the How behind it.
This project includes two-page interactive Power BI dashboard using a real dataset of 2024 data job postings, allowing users—especially tech job seekers—to explore key market trends such as job titles, salaries, and locations through clear and interactive visuals.
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Data_Jobs_Dashboard.pbix– Main Power BI report file -
Bonus Visuals Link- See at the end of page.
- Data Cleaning: Removed nulls, changed data types, and created calculated columns
- Visualizations: Used bar, column, area, and map charts to highlight key metrics
- DAX Basics: Built implicit measures to show job count and median salary
- Report Navigation: Added drill-through functionality and bookmarks for smooth user interaction
- Design Principles: Focused on layout clarity, slicer usability, and consistent formatting
This report is split into two distinct pages to provide both a high-level summary and a detailed analysis.
Think of this page as a control panel for the data job market. It highlights essential metrics like job counts, salary trends, and top roles, offering a clear, high-level overview at a glance.
This is the detailed view where you can dive deeper into a specific job title. It shows salary ranges, remote work trends, popular hiring sites, and a world map highlighting job locations.
- Built confidence using Power BI’s full report-building process from start to finish
- Understood how to transform real-world data into interactive visuals
- Practiced creating user-friendly layouts with logical data flow
- Learned to apply interactive features like drill-throughs, slicers, and buttons effectively
This dashboard shows how Power BI can turn raw job posting data into an interactive tool for career analysis. Users can slice, filter, and drill through data to explore trends and make informed decisions about their preferred career paths. Building this project helped me improve my skills in data transformation, visualization, and creating user-friendly reports.
The project was inspired by the online course Power BI for Data Analytics - Full Course for Beginners by Luke Barousse.
To see bonus viuals click here