Draup - Global Talent Job Postings Data

**Overview**

Draup’s Global Job Postings dataset provides a comprehensive and near real-time view of hiring demand across companies worldwide. It captures detailed information on job roles, skill requirements, educational backgrounds, certifications, pay, and benefits, while also mapping postings to business functions and workloads. This enables HR teams, workforce planners, and talent intelligence leaders to analyze emerging workforce needs, identify skill gaps, and anticipate hiring patterns across geographies and industries.

For talent-focused decision-makers, the dataset reveals trends in role evolution, technology adoption within jobs, and shifts in functional demand—helping organizations align workforce planning with business priorities. By offering visibility into hiring activity at both company and market levels, it equips talent acquisition leaders to design smarter sourcing strategies, benchmark against competitors, and anticipate future demand for critical skills.

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**Methodology & Quality**

The dataset is aggregated from global job boards, company career portals, and verified postings across industries. Data is continuously refreshed to ensure relevance, with postings standardized through a structured pipeline that normalizes job titles, roles, skills, and workloads. Automated translation and lemmatization processes improve comparability across geographies, while deduplication and validation routines minimize noise and bias. Updates are applied on a frequent basis to maintain timeliness, and robust standardization ensures consistency for longitudinal analysis of workforce demand.

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**Key Tables Include**

- **Company & Job Identifiers** – Standardized company and posting IDs for consistent linkage across datasets.
- **Job Role & Titles** – Normalized job roles, standardized titles, and translated raw job titles.
- **Job Descriptions** – Consolidated and translated job descriptions for consistent role analysis.
- **Skills & Tech Stack** – Extracted core skills, soft skills, and associated technology stacks for each posting.
- **Business Functions & Workloads** – Mapped to functional areas and workload categories to align postings with organizational structures.
- **Education & Certifications** – Requirements including degrees, certifications, and qualifications linked to roles.
- **Compensation & Benefits** – Pay ranges, benefits, and perks as advertised in postings.
- **Experience Requirements** – Minimum experience levels and role-specific experience indices.
- **Language Requirements** – Language skills and multilingual expectations for specific roles.

**Posting Metadata** – Posting dates, update timestamps, and system load dates for time-based analysis

原始信息汇总

Draup - Global Talent Job Postings Data 数据集概述

数据集简介

Draup的全球职位发布数据集提供全面且近乎实时的全球公司招聘需求视图，涵盖职位角色、技能要求、教育背景、认证、薪酬和福利等详细信息，并将职位发布映射到业务功能和工作负载。该数据集使人力资源团队、劳动力规划者和人才情报领导者能够分析新兴劳动力需求、识别技能差距并预测跨地域和行业的招聘模式。

方法论与质量

数据集从全球招聘网站、公司职业门户和行业验证的职位发布中聚合而成。数据持续更新以确保相关性，通过结构化流程标准化职位标题、角色、技能和工作负载。自动化翻译和词形还原过程提高跨地域可比性，去重和验证程序最大限度减少噪音和偏见。更新频繁以保持及时性，强大的标准化确保劳动力需求纵向分析的一致性。

关键数据表

• 公司与职位标识符：标准化公司和发布ID，用于跨数据集一致链接。
• 职位角色与标题：规范化职位角色、标准化标题和翻译原始职位标题。
• 职位描述：整合和翻译的职位描述，用于一致的角色分析。
• 技能与技术栈：提取的核心技能、软技能和关联技术栈。
• 业务功能与工作负载：映射到功能领域和工作负载类别，使发布与组织结构对齐。
• 教育与认证：要求包括学位、认证和与角色相关的资格。
• 薪酬与福利：发布中广告的薪酬范围、福利和津贴。
• 经验要求：最低经验水平和角色特定经验指数。
• 语言要求：特定角色的语言技能和多语言期望。
• 发布元数据：发布日期、更新时间戳和系统加载日期，用于基于时间的分析。

业务需求应用

• 360度客户视图：提供目标账户的深度实时洞察，使销售团队能够构建精确账户计划并推动有效参与。
• 机会识别：通过分析实时账户信号、购买意图和市场变化，揭示高倾向销售机会。
• 位置数据丰富：快速比较多个城市的人才可用性、劳动力成本和竞争对手存在。
• 劳动力规划：提供技能差距和劳动力成本的前瞻性视图，使招聘、再技能和预算与明年业务目标对齐。
• 智能人才获取：访问超过7.5亿专业人才库，使用40多个高级参数筛选候选人，并对照同行组织进行基准测试。

使用示例

• 跟踪竞争对手招聘活动：监控目标职位角色、技能和地理区域，了解竞争对手劳动力策略。
• 分析招聘需求趋势：分析任何职位角色在给定地理区域的招聘需求趋势，预测流失风险。
• 识别新兴技能：基于最新职位发布，识别区域中与角色相关的上升或新兴技能。

技术规格

• 更新频率：每月
• 时间覆盖范围：最近6个月，按天
• 地理覆盖范围：全球，按城市

提供商信息

• 提供商：Draup, Inc.
• 销售联系：[e-mail]
• 支持联系：[e-mail]

法律条款

• 法律条款：标准

关于提供商

Draup是全球劳动力和市场情报的领先提供商，为270多家企业提供AI驱动的销售、劳动力规划和人才获取洞察。在Snowflake Marketplace上提供精选数据集，包括100多万家公司的账户情报、覆盖8.5亿专业人才的人才洞察以及5.6万多种技术和8.5千劳动力提供商的分析。