Dataset

labor-market-intelligence

Jobs & Workforce API 1 source

Research on employment trends, detailing workforce demand, required competencies and pay levels by region.

Dataset card

TalentNeuron's labor-market-intelligence dataset is a commercial labor-market, skills, and compensation product published by TalentNeuron. It is tagged for labor-market, skills, and compensation analysis.

What this dataset contains

The product is positioned as a labor-market intelligence resource, covering the labor-market, skills, and compensation domains. The publisher, TalentNeuron, sells it under a commercial license rather than offering it as open data. No download counts, sample rows, or previews are exposed in the listing.

Structure and fields

The provider does not disclose a schema, so specific column names, row counts, and split definitions are unknown. The accompanying tags suggest the data likely relates to labor-market conditions, workforce skills, and pay levels, but no field names such as job title, skill, geography, or compensation band can be confirmed from the facts provided. Analysts seeking schema details would need to consult TalentNeuron directly.

How analysts use it

Given the labor-market, skills, and compensation framing, plausible investment-fund use cases include tracking wage inflation, mapping talent supply and demand across regions, and benchmarking corporate hiring or pay trends as a leading indicator of company operating costs. These applications are consistent with the tags but are not explicitly documented in the source material. Coverage scope, refresh cadence, and historical depth are not specified, so any backtest would require further vendor diligence.

Documentation & references 2
  1. TalentNeuron/labor-market-intelligence: listing on the provider website
  2. TalentNeuron: official website

Further reading

All guides
  • What is alternative data?Alternative data in investment research: what the term covers, how it differs from data format, and why provenance, timing, access and validation matter.
  • Job postings as an investment signalWhy hiring data predicts fundamentals: growth intent, expansion geography, technology adoption and cost control, how postings are collected, structured and turned into tradeable indicators.
  • Web scraping and compliance in alternative dataHow scraped datasets are actually collected, where terms of service and computer-muse laws draw lines, what hiQ v. LinkedIn settled and did not, and the diligence checklist for legally fragile data.
  • Free alternative data sourcesThe practical list of free alternative-data sources for investors: public filings, official statistics, satellite and earth observation, on-chain data, web archives and open registries, what each covers, what it costs in engineering effort, and where free data falls short.
  • Alternative data for investingHow funds turn alternative data into an investment edge: signal families, evaluation, backtesting, compliance and the build-vs-buy decision, mapped to the datasets and providers indexed on this encyclopedia.
  • Job market data: datasets and providersThe datasets and providers behind labor-market signals: job postings, payroll, employee profiles and job-change data, what each source measures, its caveats and how to choose one.

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