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People Analytics Lead (Recruiting)

Notion · United States

External listingfull-timeabout 2 months ago

About The Role

Join our team as a People Analytics Lead (Recruiting) where you will be the dedicated analytics partner for our recruiting efforts. You will own the data, shape the strategy, and be involved in key decision-making processes. Your primary responsibilities will include building and maintaining the recruiting analytics infrastructure, translating hiring targets into pipeline math, defining core recruiting metrics, and using data to improve the recruiting system. You will also leverage AI to enhance your work and structure knowledge and workflows in Notion.

  • Assumer la responsabilité de l'analyse des données de recrutement, de la construction et de la maintenance des tableaux de bord et de l'infrastructure de reporting.
  • Traduire les objectifs de recrutement en modèles de volume de pipeline, en liaison avec la capacité des recruteurs et la priorisation.
  • Utiliser l'intelligence artificielle pour accélérer l'itération des requêtes, la validation des métriques et les narrations d'insights.
  • AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles
  • Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on
  • Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports
  • Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust
  • Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions
  • Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions

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