Online recruitment platforms have become the dominant channel for modern hiring, yet most platforms offer only basic filtering capabilities, such as job title, keyword, and salary range. This hinders comprehensive analysis of multi-attribute relationships and job market patterns across different scales. We present RecruitScope, a visual analytics system designed to support multidimensional and cross-level exploration of recruitment data for job seekers and employers, particularly HR specialists. Through coordinated visualizations, RecruitScope enables users to analyze job positions and salary patterns from multiple perspectives, interpret industry dynamics at the macro level, and identify emerging positions at the micro level. We demonstrate the effectiveness of RecruitScope through case studies that reveal regional salary distribution patterns, characterize industry growth trajectories, and discover high-demand emerging roles in the job market.

翻译：在线招聘平台已成为现代招聘的主要渠道，然而大多数平台仅提供职位名称、关键词和薪资范围等基础筛选功能。这限制了对多属性关联关系及不同尺度下就业市场模式的综合分析。本文提出RecruitScope，一个专为求职者与雇主（特别是人力资源专家）设计的可视分析系统，支持对招聘数据进行多维度和跨层级的探索。通过协调联动的可视化视图，RecruitScope使用户能够从多角度分析职位与薪资模式，在宏观层面解读行业动态，在微观层面识别新兴岗位。我们通过案例研究验证了RecruitScope的有效性，这些案例揭示了地区薪资分布规律、刻画了行业增长轨迹，并发现了就业市场中高需求的新兴职位。