RavenPack Job Analytics

Labor Market Analytics

Job postings contain valuable information to measure business growth, innovation, financial health, and strategic orientation.

RavenPack analyzes the entire text from millions of job listings, identifying key information including skills and qualifications, responsibilities, and benefits. In addition, the full text of job postings is indexed, allowing users to conduct highly targeted searches based on keywords and metatags.

Track hiring trends and patterns, compare positions, and benchmark skills and benefits between companies, or at an aggregate level across sectors, industries, regions, and countries since 2007.

Proprietary Jobs Taxonomy

RavenPack Job Analytics is delivered with a proprietary Jobs taxonomy – a hierarchical classification system that categorizes and organizes occupations, skills, qualifications and other job related information based on their similarities and shared characteristics.

The taxonomy includes:

- 5,000+ positions mapped to industry standards for a systematic view of job positions — 5x more than the ONET standard.

- 3000+ job-related topics including unique skills, benefits, qualifications, and other job requirements

- Global coverage of companies, their units, and subsidiaries, and linkages to all available financial securities identifiers.

The Outcome Of A Powerful Partnership

RavenPack Job Analytics is the combination of job posting sourced by LinkUp, the leader in accurate job data sourced directly from companies' websites, and RavenPack's award-winning semantic tagging.

For more information, visit: https://www.ravenpack.com/products/edge/data/job-analytics.

搜集汇总

背景与挑战

背景概述

该数据集通过分析数百万条招聘信息全文，追踪2007年以来的招聘趋势，提供职位、技能等关键指标的跨企业/行业比对。其特色在于包含5000+标准化职位分类和3000+工作相关主题的专有分类体系，数据源自LinkUp企业直采岗位与RavenPack语义标记技术的结合。