[SAMPLE] Canaria | Recruiting Data Indeed, LinkedIn | US | 25M+ Monthly Job Posting & 2 Year ...

Data Uniqueness

Human-Verified AI & LLM Models: AI and LLM models, verified by human experts, ensure accuracy in classifying industry, job titles, skills, salaries, and locations within Recruiting Data.

• Industry Model: Classifies job industries by NAICS, SOC, and SIC codes, enhancing Recruiting Data.
• Title Taxonomy Model: Identifies accurate job titles, improving Recruiting Data.
• Skill Taxonomy Model: Determines job skills, refining Recruiting Data.
• Salary Estimations: Calculates salary ranges, crucial for Recruiting Data.
• Zip Code Accuracy: Ensures correct location data for job postings, enhancing Recruiting Data.
• Data Enhancement: Ensures refined Recruiting Data.

Comprehensive Coverage: Includes over 5M monthly LinkedIn job postings in the US, with 6 months of historical data, essential for Recruiting Data.

Daily Updates: Ensures LinkedIn job postings data is fresh and relevant, capturing the latest trends for Recruiting Data.

High-Quality Data Attributes: Covers job titles, skills, salary information, zip codes, and industry classifications, refining Recruiting Data.

• Skill & Title Taxonomy: Over 38,000 skills and 530,000 job titles refined to 53,000+ unique titles, enhancing Recruiting Data.
• Improved Zip Code Knowledge: Accurate geographic data, crucial for Recruiting Data.
• Benefits, Certifications, and Qualifications: Comprehensive details included.
• Industry-Based Search: SOC, NAICS, and SIC industry search with 867 unique SOC codes, refining Recruiting Data.
• Remote, Hybrid, or Onsite Knowledge: Detailed job location information.
• Deduplicated Job Postings: Ensures high-quality Recruiting Data.

Versatile Applications: Ideal for HR Tech, Lead Generation, and Investors, offering insights and supporting strategic decision-making with Recruiting Data.

Data Sourcing

Multiple Data Sources: Aggregated from top US job boards, including Indeed (80%), LinkedIn, and company career pages, enhancing Recruiting Data.

Advanced Web Scraping: Collects job postings hourly, but AI-LLM enhancements mean LinkedIn data is delivered daily, ensuring quality Recruiting Data.

Human-Labeled Annotations: Ensures accurate Recruiting Data classification and extraction.

Data Deduplication: Eliminates redundant LinkedIn job postings, ensuring unique Recruiting Data.

Continuous Data Validation: Cross-references multiple sources to maintain Recruiting Data accuracy and reliability.

Quality Assurance: Dedicated team ensures comprehensive, accurate, and actionable Recruiting Data.

Primary Use-Cases and Verticals

HR Tech:

• HR Analytics: Gain insights into industry demands and job market trends with Recruiting Data.
• HR Strategy: Develop effective HR strategies based on comprehensive data.
• HR Intelligence: Optimize HR practices and improve talent acquisition with LinkedIn Recruiting Data.

Lead Generation:

• Lead Generation: Identify leads and understand hiring needs with LinkedIn Recruiting Data.
• Account-Based Marketing (ABM): Tailor marketing to specific accounts using Recruiting Data.
• Lead Data Enrichment: Enhance lead data with detailed LinkedIn Recruiting Data.

Business Intelligence (BI):

• Employment Analytics: Support business decisions with Recruiting Data.
• Competitive Intelligence: Gain insights from LinkedIn job postings trends.
• Competitor Insights: Understand competitors' hiring strategies using Recruiting Data.

Market Research:

• Market Research: Conduct research on labor market dynamics with Recruiting Data.
• Job Market Pricing: Establish market pricing with LinkedIn salary data.
• Job Pricing: Determine competitive salary ranges using Recruiting Data.

Machine Learning (ML) & Natural Language Processing (NLP):

• Machine Learning (ML): Develop models to predict LinkedIn job market trends.
• Natural Language Processing (NLP): Extract and analyze LinkedIn job postings data.

Corporate Development:

• Corporate Development: Inform strategic initiatives with LinkedIn Recruiting Data.
• Hiring: Optimize hiring strategies and identify talent opportunities using Recruiting Data.

Job Boards Listings:

• Indeed Data: Gain insights from Indeed job market trends.
• LinkedIn Job Posting Data: Understand industry-specific hiring trends with LinkedIn Recruiting Data.

Integration with Broader Offering

Complementary Data Integration: LinkedIn Job Postings Data and Title & Skill Taxonomy Data integrate with other products, providing a comprehensive view of the job market, skill trends, and industry movements, enhancing Recruiting Data.

Enhanced Data Insights: Combining LinkedIn job postings with title & skill taxonomy data offers a multi-dimensional perspective, enabling informed decision-making with Recruiting Data.

Scalable Solutions: Suitable for businesses of all sizes, these data products support growth and strategic initiatives using Recruiting Data.

Customizable Data Solutions: Tailored to meet specific business needs, LinkedIn job postings and title & skill taxonomy data can be enriched with additional layers, delivering targeted insights for Recruiting Data.

Innovative Technology: Leveraging advanced AI & LLM models verified by human experts, these products ensure reliable and accurate Recruiting Data.

Versatile Applications: Integration enhances HR analytics, lead generation, competitive intelligence, and market research, providing value across business verticals with Recruiting Data.

Continuous Improvement: Ongoing enhancements ensure LinkedIn job postings and title & skill taxonomy data remain valuable within the Recruiting Data portfolio.

Certifications:

ePrivacyseal
Future of Privacy Forum (FPF)
International Association of Privacy Professionals (IAPP)
IAB Europe GDPR Transparency & Consent Framework
IAPP Certified Information Privacy Technologist (CIPT)
Privacy Shield Framework