The Data Jobs Dashboard was developed as a data storytelling and exploration tool aimed at job seekers, data analysts, and ML professionals looking to understand hiring trends in the tech industry. Using a real dataset of 2024 data science job listings, the dashboard consolidates fragmented job market data into a unified, analytical report—offering insight into job titles, compensation, work location types, and more.
Built entirely in Power BI, this project mimics the responsibilities of a data analyst and highlights how data visualization can support decision-making and strategic planning.
Download and explore the complete Power BI project file here: Data_Jobs_Dashboard.pbix
This project demonstrates essential skills commonly required in data analyst and machine learning engineer roles:
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⚙️ Data Cleaning & Feature Engineering (Power Query)
- Performed structured preprocessing
- Handled missing data, transformed data types
- Engineered new columns for categorical breakdowns
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🧮 Analytical Metric Design using DAX
- Created performance indicators such as
Median Salary,Job Count, andRemote Ratio - Simulated feature extraction logic commonly used in ML pipelines
- Created performance indicators such as
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📊 Exploratory Data Analysis (EDA) via Visualization
- Used Bar, Line, Area, and Column charts to identify trends, outliers, and seasonal patterns
- Segmented job data by role, location, and salary for interpretability
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🗺️ Spatial and Temporal Analysis
- Incorporated map visuals for global trend analysis
- Analyzed job distributions across cities, countries, and remote-first employers
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📈 KPI Reporting & Tabular Summaries
- Designed interactive KPI cards and sortable tables to facilitate stakeholder-style reporting
- Simulated reporting dashboards used in BI tools like Tableau and Power BI
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🎨 UX/UI for Business Storytelling
- Applied data storytelling principles using clean layouts, thematic visuals, and intuitive navigation
- Balanced high-level and drill-down views for decision makers
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🖱️ Interactive Features & User-Driven Filtering
- Implemented slicers, bookmarks, and drill-through filters to enhance user control
- Emulated real-world dashboard interactivity for dynamic exploration and model validation
The report is split into two pages to support both strategic overview and targeted drill-downs, similar to business intelligence workflows:
Get a quick snapshot of job availability, median salaries, and top roles across industries and locations. This high-level view supports executive-level trend analysis.
Use drill-through filters to focus on specific job titles and explore related insights: salary bands, work type (remote/on-site), hiring platforms, and regional patterns.
This Power BI dashboard simulates a real-world analytical workflow—from data ingestion and transformation to interactive storytelling—mirroring the cross-functional role of a data analyst and offering a foundation for ML feature analysis and trend interpretation. It enables actionable insight generation that’s crucial in both business decision-making and model context building.
📺 Special Thanks:
Grateful for the excellent guidance from Luke Barousse, whose tutorial made this project possible.