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人才分析负责人 - 招聘

机器翻译
查看雇主原标题People Analytics Lead - Recruiting

Notion · San Francisco, California; New York, New York

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 52/100,仅依据与该职位一起存储的证据计算。

52/100 发现指数
  • 新的雇主官方职位
  • 远程职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 远程职位+8
  • 稀有职位+3
  • 公司来源健康度+8

该职位未包含:已披露薪资、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

我们是谁 Notion 是协作式 AI 工作空间,团队和智能体在这里共同思考。我们正在打造一个让知识、项目、会议和 AI 工具并排放置的地方,让工作更快速、更清晰、更少割裂。数百万个人、小型团队和大型公司都在 Notion 上开展工作。 Notinos(我们的员工)是践行这一未来工作方式的零号客户。我们重视匠心、打造经久不衰的事物,并坚信伟大的工作从根本上仍然关乎人。我们的目标不是发布下一个功能。每一个 Notinos 团队都在努力为 AI 时代的人类协作树立标准。从构建企业的记录系统,到创建和管理 AI 智能体,再到自动化处理繁琐工作,我们深切关注如何让客户有更多时间投入他们毕生的事业。 关于该职位: 你将成为招聘团队专属的人才分析合作伙伴——掌握数据、塑造战略,并参与决策现场。该职位的核心是构建可信赖的招聘分析基础设施(漏斗 + 各阶段转化率、招聘管道老化、招聘周期、录用接受率、招聘渠道质量以及招聘人员产能),并让招聘人员和领导者能够自助使用。你将端到端负责整个技术栈——从 Ashby 和 Snowflake 中的原始数据,到能在招聘管道复盘会上站得住脚的清晰洞察。 你是那种能把劳动力信号转化为招聘战略的人——并带来自己的观点。 该职位可能设在我们的旧金山或纽约市办公室。我们在周一、周二和周四到办公室工作(我们的锚定日),因为面对面时我们最能一起思考和建设。我们正在寻找一位乐于在这些日子与团队并肩工作的人。 你将实现的目标: • 端到端负责招聘分析:构建并维护招聘领导层所依赖的仪表盘和报告基础设施(漏斗健康度、各阶段转化率、招聘周期、录用接受率、招聘管道老化、面试/面试官有效性以及招聘人员产能)——实时、自助且可信。

• 构建人员编制 + 速度模型:将招聘目标转化为招聘管道数学(各阶段所需数量、预计完成时间、落后于计划的职位),并将其与招聘人员产能和优先级挂钩——让领导者尽早看到问题并知道如何应对。

• 让人才数据达到决策级标准:定义核心招聘指标及其定义,将其文档化,并朝着团队能够达成一致的单一事实来源迈进。

• 为招聘管道领导层复盘带来信号:带着清晰的分析和建议参加招聘管道复盘会和季度业务复盘会

岗位职责

你将成为招聘团队专属的人才分析合作伙伴——掌握数据、制定策略,并参与决策制定的核心环节。该角色的核心是构建可信赖的招聘分析基础设施(漏斗及阶段转化率、管道老化、招聘周期、录用接受率、招聘渠道质量以及招聘人员产能),并使其可供招聘人员和领导者自助使用。你将端到端负责整个技术栈——从 Ashby 和 Snowflake 中的原始数据,到能在管道审查中站得住脚的清晰洞察。 你是将劳动力信号转化为招聘策略的人——并带来自己的观点。 该职位可能设在我们的旧金山或纽约市办公室。我们在周一、周二和周四到办公室工作(我们的锚定日),因为面对面时我们才能最好地思考和构建。我们正在寻找一位乐于在这些日子与团队并肩工作的人。 你将取得的成就: • 端到端负责招聘分析:构建并维护招聘领导层所依赖的仪表盘和报告基础设施(漏斗健康度、各阶段转化率、招聘周期、录用接受率、管道老化、面试/面试官有效性以及招聘人员产能)——实时、自助且可信。

• 构建人员编制 + 速度模型:将招聘目标转化为管道数学(各阶段所需数量、预计完成时间、落后于计划的职位),并将其与招聘人员产能和优先级排序挂钩——让领导者尽早看到问题并知道如何应对。

• 使人才数据达到决策级标准:定义核心招聘指标及其定义,将其文档化,并朝着团队能够达成一致的单一事实来源迈进。

• 为管道领导层审查带来信号:带着清晰的分析和建议(瓶颈在哪里、发生了什么变化、下一步测试什么)参加管道审查和 QBR,而不仅仅是一份幻灯片。

• 改进招聘系统:利用数据发现流程、校准或优先级排序在何处造成拖累——并与招聘和财务团队合作解决。

• 在入职前 90 天将 AI 作为杠杆:使用 AI 加速查询迭代、指标 QA 和洞察叙述(例如,起草 + 测试 SQL 方法、异常检查和简明解读),同时保持底层逻辑和定义清晰且可审计。

任职要求

• 具备构建真正被使用的分析能力的可靠经验:你交付过团队依赖其进行实际每周决策的仪表板/模型——而非一次性报告。

• 扎实的 SQL + 数据建模判断力:你能够编写复杂查询、调试数据问题,并构建他人可以信赖的可维护模型/管道。

• 针对招聘问题的定量建模:你能够将招聘阶段转化为清晰的漏斗数学和产能视图,并且知道如何对假设进行压力测试。

• 战略伙伴的直觉:你能预判领导者会提出的问题,主动带着分析结果出现,并能说明数据对决策意味着什么。

• 精通 AI,且品味良好:你将 AI 作为日常倍增器(分析、QA、起草叙述),并知道何时依赖它、何时回归第一性原理。

• 在 Notion 中构建:你能够自如地在 Notion 中组织知识和工作流程(数据库、视图、文档),让他人易于找到、信任并基于你的工作继续构建。

Notion 致力于提供极具竞争力的现金薪酬、股权和福利。本职位提供的薪酬将基于多种因素,如地点、职位的范围和复杂性,以及候选人的经验和专长,并可能与下方提供的范围有所不同。对于位于旧金山或纽约市的职位,本职位估计的基本薪资范围为每年 $225,000 - $275,000。 点击“Submit Application”,即表示我理解并同意 Notion 及其关联公司和子公司将根据 Notion 的全球招聘隐私政策和 NYLL 144 收集和处理我的信息。 #LI-Onsite 关于 AI 的说明 你不需要为每个职位都具备深厚的 AI 专业知识,但我们期望每一位 Notino 都具备求知欲,热衷于动手尝试和探索,并乐于将 AI 作为工作中的真正协作者。对于某些职位,AI 熟练度是核心要求——在这种情况下,我们会在任职资格中明确说明。在这里如鱼得水的人不会把 AI 当作新奇事物。他们用它来更好地思考,并让他人更容易基于他们的工作继续构建。 平等机会与便利安排 我们聘用来自广泛背景的优秀人才。如果你对这个职位感到兴奋,但并非满足每一项要求,我们仍然鼓励你申请。Notion 是平等机会雇主,不会基于任何受法律保护的特征进行歧视。根据适用法律,我们会考虑有逮捕和定罪记录的合格申请人。Notion 在申请过程中提供合理的便利安排;如果你需要,请告知你的招聘人员。 Notion 自豪地成为平等机会雇主。我们在招聘或任何雇佣决定中不会基于种族、肤色、宗教、国籍、年龄、性别(包括怀孕、分娩或相关医疗状况)、婚姻状况、血统、身体或精神残疾、遗传信息、退伍军人身份、性别认同或表达、性取向或其他适用的受法律保护特征进行歧视。Notion 会根据适用的联邦、州和地方法律考虑有犯罪历史的合格申请人。Notion 还致力于在我们的求职申请流程中为符合条件的残障人士和残障退伍军人提供合理的便利安排。如果你因残障需要帮助或便利安排,请告知你的招聘人员。

以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。

查看雇主原文

职位描述

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: • Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted.

• Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them.

• Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on.

• Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommenda

岗位职责

You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: • Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted.

• Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them.

• Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on.

• Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck.

• Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it.

• Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable.

任职要求

• 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.

• 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.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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