Canaria | Alternative Data Job Postings | US | 25M+ Monthly Job Postings & 2 Year Historical | AI-LLM Enhanced Deduplicated Unique Alternative Data

Advanced Processing, Superior Insights Utilizing state-of-the-art AI and large language models (LLMs) validated by human experts, we are dedicated to delivering high-quality, actionable data through innovative technology. Apart from the models included in our standard data offerings, we have developed additional models to provide tailored results to your needs, such as a sentiment analysis model that analyzes text data to gauge sentiment, helping businesses understand public perception and employee feedback, anomaly detection models, and LLM-based summarization models that condense large chunks of text for you. Our Models: • Deduplication Model: Our model first removes exact duplicate records, then uses advanced AI to identify and eliminate near-duplicate job postings across different URLs, achieving approximately a 60% deduplication rate. •Title Taxonomy Model: With over 20 million unique job titles in our 500M+ job postings database, analysis can be challenging. Our AI models categorize each job posting into one of 50,000 standardized job titles from our internal normalized title taxonomy, simplifying data analysis. •Skill Taxonomy Model: Our in-house AI model identifies key entities in job postings, including hard skills, soft skills, certifications, and qualifications. Unlike keyword-based approaches, our model not only finds relevant keywords but also excludes irrelevant ones, ensuring precise data (e.g., "Hepatitis B" is skill for nursing jobs but not for accounting jobs). •Job Category Model: Our AI models analyze job descriptions, entities, predicted salary, location, industry, and job title to determine the seniority level of a job, standardizing levels across different companies. Another model identifies if a job is remote, onsite, or hybrid, accounting for discrepancies between job classifications and descriptions (e.g., a job classified as onsite but open to remote). •Salary Estimation Model: Using company salary history, industry ranges, location, seniority, and public government data, our models predict the salary range for job postings. •Government Classification Models: We developed models to classify job postings into Standard Occupation Codes (SOC) by the BLS and to categorize companies into industries based on their job posting information. Data Sourcing •Multiple Data Sources: Data is aggregated from top US job boards, including Indeed (approximately 80%), LinkedIn, other leading job posting websites, and company career pages to ensure a rich alternative data set. •Advanced Web Scraping: Advanced web scraping techniques are utilized to collect job postings hourly. However, enhancing the alternative data with AI-LLM models takes time, so Indeed job postings data is delivered daily to ensure high-quality results. •Human-Labeled Annotations: AI & LLM models are trained and verified with human-labeled annotations to ensure the highest accuracy in data classification and attribute extraction, enhancing the alternative data quality. •Data Deduplication: Rigorous data deduplication processes are implemented to eliminate redundant Indeed job postings, ensuring the uniqueness and quality of the alternative data. •Continuous Data Validation: Data undergoes continuous validation processes, including cross-referencing with multiple sources, to maintain accuracy and reliability of the alternative data. •Quality Assurance: A dedicated team is responsible for ongoing quality assurance, ensuring the alternative data remains comprehensive, accurate, and actionable for clients. Primary Use-Cases and Verticals of the Data Product: •HR Tech: •HR Analytics: Gain insights into industry demands, salary benchmarks, and job market trends to support strategic HR decisions using alternative data. •HR Strategy: Develop and implement effective HR strategies based on comprehensive alternative job market data. •HR Intelligence: Analyze Indeed job market alternative data to optimize HR practices and improve talent acquisition. Lead Generation: •Lead Generation: Utilize Indeed job postings alternative data to identify potential leads and understand the hiring needs of prospective clients. Account-Based Marketing (ABM): Tailor marketing efforts to specific accounts based on Indeed job postings alternative data trends. •Lead Data Enrichment: Enhance lead data with detailed Indeed job market alternative data. Business Intelligence (BI): •Employment Analytics: Analyze job market trends and employment data to support business decisions using alternative data. •Competitive Intelligence: Compare Indeed job postings alternative data trends across different companies and industries to gain competitive insights. •Competitor Insights: Understand competitors' hiring activities and strategies using alternative data. Market Research: •Market Research: Conduct research on labor market dynamics, employment trends, and skill demand using alternative data. •Job Market Pricing: Analyze Indeed job postings and salary data to establish market pricing for various roles using alternative data. •Job Pricing: Determine competitive salary ranges for job postings based on comprehensive alternative data analysis. Machine Learning (ML) & Natural Language Processing (NLP): •Machine Learning (ML): Develop ML models to predict Indeed job market trends and enhance job matching algorithms using alternative data. Natural Language Processing (NLP): Utilize NLP techniques to extract and analyze Indeed job postings alternative data for improved insights. Corporate Development: •Corporate Development: Inform strategic initiatives and business growth plans with detailed Indeed job market alternative data. Hiring: Optimize hiring strategies and identify talent acquisition opportunities using alternative data. •Job Boards Listings: •Indeed Data: Leverage alternative data from Indeed to gain insights into job market trends and hiring practices. •Indeed Job Posting Data: Utilize Indeed job postings alternative data to understand industry-specific hiring trends. Integration with Broader Offering •Complementary Data Integration: The Indeed Job Postings Alternative Data and Title & Skill Taxonomy Alternative Data seamlessly integrate with each other and other data products offered by Canaria Inc. This integration provides a comprehensive view of the job market, skill trends, and industry movements. •Enhanced Data Insights: By combining Indeed job postings alternative data with title & skill taxonomy alternative data, users gain a multi-dimensional perspective on job market dynamics, workforce trends, and required skills. This holistic approach enables more informed decision-making across various business functions. •Scalable Solutions: These data products are part of a scalable suite of solutions catering to businesses of all sizes. Whether for small businesses or large enterprises, clients can leverage these datasets alongside other offerings to support growth and strategic initiatives using alternative data. •Customizable Data Solutions: Canaria Inc. provides tailored data solutions that can be customized to meet specific business needs. Indeed job postings and title & skill taxonomy alternative data can be enriched with additional data layers, such as demographic information or economic indicators, to deliver targeted insights. •Innovative Technology: Utilizing advanced AI & LLM models verified by human experts, these data products exemplify Canaria Inc.'s commitment to leveraging cutting-edge technology to deliver high-quality, actionable alternative data. This approach ensures reliability and accuracy across all Canaria Inc. data offerings. •Versatile Applications: The integration of Indeed job postings alternative data with title & skill taxonomy alternative data enhances a wide range of applications, from HR analytics and lead generation to competitive intelligence and market research.