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Job Search Intelligence / JSI Analytics — Worker-level longitudinal-equivalent labour panel described as covering roughly 130 million US workers — demographic characteristics, educational attainment, employment history, compensable skills and compensation for nearly all full-time and temporary workers, assembled from billions of unstructured data points and normalised into an architecture the vendor states maps cleanly onto O*NET occupations, NAICS industries and BLS metropolitan statistical areas.. A striking asymmetry: an extraordinarily large claimed data asset (130 million workers, billio…
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Worker-level longitudinal-equivalent labour panel described as covering roughly 130 million US workers — demographic characteristics, educational attainment, employment history, compensable skills and compensation for nearly all full-time and temporary workers, assembled from billions of unstructured data points and normalised into an architecture the vendor states maps cleanly onto O*NET occupations, NAICS industries and BLS metropolitan statistical areas.
Coverage Information Technology · IndustrialsAsset class EquitiesTickers RFHI · MAN · III
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Job Search Intelligence / JSI Analytics — Worker-level longitudinal-equivalent labour panel described as covering roughly 130 million US workers — demographic characteristics, educational attainment, employment history, compensable skills and compensation for nearly all full-time and temporary workers, assembled from billions of unstructured data points and normalised into an architecture the vendor states maps cleanly onto O*NET occupations, NAICS industries and BLS metropolitan statistical areas.. A striking asymmetry: an extraordinarily large claimed data asset (130 million workers, billio…
Jobsearchintelligence offers (Alternative, Fundamental, ESG) — Claimed coverage of ~130 million US workers and 'billions of data points' of normalised unstructured data — an order of magnitude larger than the job-posting feeds elsewhere in this table, and closer in construction to an employment panel than a listings index..
Workforce benchmarking of a client's own staff against industry or market distributions; pay-equity and compensation-band design at skill rather than title level; predictive attrition and skills-gap analytics; staffing-agency market mapping and contingent-workforce sizing; government and workforce-board labour-shed analysis; and for AI buyers a large worker-feature corpus with occupation, education and compensation labels suitable for career-matching, wage-prediction and skills-inference models — the O*NET alignment makes it directly joinable to public occupational taxonomies.
Coverage spans US; Data Processing & Outsourced Services, Human Capital & Employment Services; alternative, fundamental, ESG; equities.
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