A comprehensive business intelligence solution that visualizes global trends in AI employment, skills demand, compensation, and industry-specific requirements. This interactive platform enables stakeholders to make data-driven decisions regarding career development, recruitment strategy, and workforce planning.
- Overview
- Key Features
- Data Sources
- Getting Started
- Database Design
- Dashboard Pages
- Design System
- Stakeholders
The AI Job Market Dashboard addresses critical challenges faced by organizations, learners, and policymakers in understanding AI job market behavior:
- Difficulty identifying which AI skills are most in demand
- Uncertainty about competitive salary ranges
- Limited visibility into industry-specific requirements
- Lack of consolidated global talent distribution data
- Slow adaptation to fast-changing AI trends
Our solution provides consolidated insights into emerging AI skills, salary expectations across roles and regions, industry adoption patterns, geographic talent distribution, and skill growth trends over time.
- Current and Emerging AI Skills Tracking - Monitor which AI skills are gaining prominence in the job market
- Salary Intelligence - Compare competitive salary ranges across roles and geographic regions
- Industry Adoption Analysis - Understand how different industries are adopting AI roles and skills
- Talent Distribution Mapping - Visualize geographic concentration of AI professionals globally
- Trend Analysis - Track skill growth patterns and market evolution over time
- Interactive Filtering - Filter insights by industry, role, region, and experience level
Skills and Courses Data: Compiled by scraping platforms such as Coursera and Udacity to capture current learning trends and course offerings.
Job Posting Data: AI-generated based on patterns from major employment platforms like LinkedIn and Indeed, providing realistic market insights while respecting platform limitations.
Our data pipeline includes comprehensive cleaning and preprocessing:
- Removal of duplicates and irrelevant job listings
- Normalization of salary ranges, job titles, and skill names
- Categorization of industries, experience levels, and skill groups
- Handling of missing values and conversion of raw text into usable fields
- Access to the dashboard platform
- Modern web browser with JavaScript enabled
- Basic familiarity with business intelligence tools
- Clone or download the project files
- Set up the database schema using the provided SQL files
- Configure data pipeline for continuous data refresh
- Deploy dashboard application to your hosting environment
- Configure user access and permissions
The dashboard is built on a relational database with the following core entities:
Companies - Organization information including size, location, and industry Jobs - Job postings with titles, requirements, compensation, and metadata Skills - Technical and professional skills with demand scores and salary premiums Industries - Industry classifications and aggregate metrics Courses - Learning resources with ratings and skill associations Locations - Geographic data with talent concentration metrics
- Jobs belong to Companies (Many-to-One)
- Jobs require Skills (Many-to-One)
- Jobs are posted on specific Dates (Many-to-One)
- Courses teach Skills (Many-to-One)
Jobs Table: job_id, job_title, experience_level, employment_type, education_required, salary_usd, remote_ratio, company_id, industry_id, location_id, posting_date
Skills Table: skill_id, skill_name, skill_category, demand_score, salary_premium
Companies Table: company_id, company_name, company_size, headquarters_location, industry_id
Industries Table: industry_id, industry_name, industry_sector, job_count, avg_salary
Courses Table: course_id, course_name, partner_name, rating, certificate_type, duration_range
Locations Table: location_id, country_code, country_name, region, city, talent_concentration
The dashboard comprises six main analytical sections:
Home / Executive Overview - High-level market snapshot with total jobs count, active skills, industries represented, and salary pool. Includes global distribution map.
Jobs Analysis - Detailed job market breakdown by industry, experience level, employment type, and location with trend analysis.
Salary Insights - Comprehensive salary analysis segmented by experience level, job title, industry, company size, and employment type.
Skills Demand - Ranking of top-demanded skills, skills by industry vertical, salary premiums by skill, and emerging skill trends.
Companies Insights - Top hiring companies, salary analysis by company, company size distribution patterns, and industry-specific hiring.
Courses & Learning - Course metrics, duration analysis, education partners, skills coverage, and course ratings.
- Clarity: Intuitive visualizations with clear KPIs and straightforward navigation
- Consistency: Unified design language and cohesive color scheme throughout
- Interactivity: Comprehensive filtering capabilities for deep analysis
- Performance: Optimized responsiveness across devices
- Accessibility: Designed to accommodate diverse user needs
The dashboard uses a variety of visualization types to present insights:
- Bar charts for comparative analysis
- Heatmaps for multi-dimensional relationships
- Geographic maps for talent distribution
- Line charts for trend analysis
- Distribution plots for salary and experience ranges
Students & Job Seekers - Identify in-demand skills, understand salary expectations, and optimize career development paths
University Career Centers - Provide reliable market intelligence for career advising and curriculum development
HR Professionals & Recruiters - Benchmark compensation, identify skill requirements, and assess talent availability
Companies - Monitor competitive hiring landscapes and plan workforce expansion strategies
Decision Makers - Gain market insights for strategic business planning and competitive positioning
Students and learners can optimize their learning paths based on salary potential and demand trends, identify skill gaps, and discover emerging opportunities. HR teams can establish competitive compensation packages and benchmark against industry standards. Companies can monitor their competitive hiring landscape and develop data-driven workforce expansion strategies. Universities can align their curriculum with market demands and validate program effectiveness.