This dashboard was created for Job Seekers, Job Transitioners, and Job Swappers to solve a common problem: information about the data job market is scattered and hard to grasp. Using a real-world dataset of 2024 data science job postings (including titles, salaries, and locations), this project provides a single, easy-to-use interface to explore market trends and compensation.
You can find the file for the dashboard here: Data_Jobs_Dashboard.pbix.
This project was a journey through key Power BI features. Here's a look at what we mastered:
- ⚙️ Data Transformation (ETL) with Power Query: Cleaned, shaped, and prepared the raw data for analysis by handling blanks, changing data types, and creating new columns.
- 🧮 Implicit Measures: Formulated measures to derive key insights and KPIs like
Median Yearly SalaryandJob Count. - 📊 Core Charts: Utilized Column, Bar, Line, and Area Charts to compare job counts and track trends over time.
- 🗺️ Geospatial Analysis: Leveraged Map Charts to visualize the global distribution of jobs.
- 🎨 Dashboard Design: Designed an intuitive and visually appealing layout, exploring both common and uncommon chart types to best tell the data story.
This dashboard showcases how Power BI can transform raw job posting data into a powerful tool for career analysis. It allows users to slice, filter, and drill through data to make informed decisions about their career paths.