Job Market Analysis (Panda's, SQL & Power BI)
Project Overview:
Understanding in-demand skills and high-paying job opportunities is critical for career growth. This project analyzes job postings data to uncover trends in salaries, skills, and opportunities for Data Roles , using Python , SQL for Data extraction, cleaning, analysis and Power BI for visualization.
Key Features:
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Top-Paying Roles: Identify the top 10 highest-paying Data Analyst positions (remote-friendly).
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In-Demand Skills: Analyze the most sought-after skills across the job market.
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High-Value Skills: Combine salary and skill data to highlight skills that maximize career potential.
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Interactive Dashboard: Explore trends by role, company, and location with Power BI.
Technical Approach:
1.Data Extraction & Cleaning.
•SQL queries using joins, subqueries, window functions, and aggregations.
•Filtered for non-null salaries and remote positions.
- Analysis:
•Identified top-paying roles with salary ranges.
•Determined most in-demand skills by frequency across postings.
•Linked skills to high salaries to prioritize learning paths.
- Visualization
Power BI dashboard visualizes salary distributions, skill demand, and job trends.
- ML Prediction & Optimization
Key Insights:
a) Top Employers: Mantys, Meta, AT&T, SmartAsset, and others.
b) High-Demand Skills: SQL, Excel, Python, Tableau, Power BI.
c) High-Value Skills: Azure, AWS, BigQuery, Python, Tableau, SQL.
Dashboard & Demo:
Power BI Dashboard: View Dashboard
Project Demo Video: Watch Video
Tech Stack:
Python ( Pandas, Matplotlib , Seaborn) , MySQL, Power BI – Interactive dashboards and visualizations