10,482 job postings collected January 1–14, 2026 from the National Labor Exchange feed for
Colorado.
🏙️ Hiring Activity by City
Number of job postings, top 12 cities
🏭 Jobs by Industry Sector
Classified via O*NET occupation codes (2-digit)
🏢 Top Employers
Number of active job postings per company
🔬 Skill Extraction Sources
165,664 total skill extractions — 3 taxonomy sources used
ESCO — European Skills / Competences, Qualifications and Occupations taxonomy O*NET Tech Skills — US occupational technology skill requirements O*NET Skills — US foundational occupational skills framework
Top Skills in Demand
Most frequently requested skills across Colorado job postings, extracted from job
descriptions using NLP and matched to standardized taxonomy terms.
How many jobs require each skill
Hover for skill description · Color = skill category
Skills × Industries Matrix
Each cell shows what % of jobs in that sector require each skill category.
Darker = higher demand. This reveals which industries prioritize communication, technical, clinical, etc.
skills.
How to read this
Rows = Industry sectors (classified by O*NET 2-digit code) Columns = Skill categories (grouped by keyword matching on taxonomy skill names) Value = % of jobs in that sector that require at least one skill in that category N Jobs = Number of postings in that sector in the dataset
Job Description Explorer
Search any job title, skill, or company. See the actual postings with their extracted skills
— this demonstrates the NLP extraction pipeline on real data.
Colorado Geographic Job Distribution
Map of job posting density across Colorado cities. Click a city
bubble to see its most in-demand skills and top industry sectors.
Methodology & Transparency
How we transformed unstructured job posting text into structured, analyzable skill data —
including known limitations and assumptions.
⚙️ Extraction Pipeline — Step by Step
📈 Data Summary
📐 Correlation Score Distribution
How confident was the skill match? Score = cosine similarity between raw phrase and
taxonomy term embeddings.
Threshold: only skills with similarity ≥ 0.5 are included. Higher = more exact match
between job description language and taxonomy term.