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.

劳动力市场分析（Labor Market Analytics）

招聘启事蕴含着极具价值的信息，可用于研判企业的增长态势、创新水平、财务健康状况与战略导向。

RavenPack会对数百万条招聘启事的完整文本进行全面分析，提取其中的技能要求、任职资格、岗位职责与薪酬福利等核心信息。此外，所有招聘启事的完整文本均已建立索引，支持用户基于关键词与元标签开展高精度定向搜索。

自2007年起，该数据集可用于追踪招聘趋势与模式、比对不同岗位差异，还可在企业层面或跨部门、行业、地区与国家的聚合维度上，对技能要求与薪酬福利进行基准对标分析。

专有岗位分类体系（Proprietary Jobs Taxonomy）

RavenPack岗位分析数据集（RavenPack Job Analytics）配套专有岗位分类体系——这是一套层级化分类系统，可根据职业、技能、任职资格及其他岗位相关信息的相似度与共同特征进行归类与组织。
该分类体系包含以下内容：
- 覆盖5000余个匹配行业标准的岗位，可系统性呈现岗位全貌，其岗位数量是ONET标准的5倍以上。
- 涵盖3000余个岗位相关主题，包括专属技能、薪酬福利、任职资格及其他岗位要求。
- 覆盖全球范围内的企业、分支机构与子公司，并可与所有可用的金融证券标识符建立关联。

强强联合的成果

RavenPack岗位分析数据集由两大核心资源整合而成：一是由LinkUp（直接从企业官网获取精准招聘数据的行业领军者）提供的招聘启事数据源，二是RavenPack屡获殊荣的语义标注技术。

如需了解更多信息，请访问：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。