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Open nowPosted 161 days ago

人群策略

poizon/index568 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now人群策略poizon/index · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on poizon/index's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. poizon/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 161 days ago

poizon/index median: 1 days open

The posting

1、围绕留存、转化、复购、购频、LTV 等核心指标，搭建用户经营指标体系与增长策略框架，推动策略可量化、可追踪、可复盘。 2、基于用户生命周期、购买行为、品类偏好、价格敏感度、流失风险等维度，使用 SQL / Python 完成数据提取、清洗、特征加工与用户分层，搭建可落地的用户分层与生命周期模型。 3、通过漏斗分析、Cohort 分析、TGI、渠道归因、转化归因等方法，识别高价值人群、高潜人群与流失风险人群，挖掘增长机会。 4、基于行为数据识别用户状态迁移路径，如新客→活跃、低频→高频、单品类→多品类、低客单→高客单等，设计分层运营策略，并通过数据评估 ROI 与增量效果。 5、独立拆解访问→浏览→搜索→加购→支付→复购全链路，定位关键流失节点，输出优化建议并推动产品、运营、商品等团队落地。 6、设计 AB 实验方案，独立完成实验取数、分流校验、效果评估、显著性检验与增量归因，基于实验结果迭代策略。 7、对留存率、转化率、复购率、购频、LTV 等核心指标负责，搭建用户经营数据看板与监控体系，以数据驱动决策。 8、联动产品、算法、投放、商品等团队，独立产出数据分析报告、人群策略与增长方案，推动策略落地闭环。

1. 具备 5 年以上用户运营、用户增长、用户策略、会员运营或电商运营相关经验，其中至少有 2 年以上团队管理或项目负责人经验。 2. 有完整负责用户指标的经验，包括但不限于用户留存、转化、复购、购频、购买用户规模、LTV 等，能够对业务结果负责，而不只是执行活动或完成触达。 3. 具备较强的数据分析意识和业务拆解能力，能看懂核心经营数据，能提出分析需求，能基于数据发现问题、验证假设、判断策略效果；会 SQL 或有独立数据分析能力优先。 4. 具备较强的业务 owner 意识和结果导向，能主动发现问题、定义问题、推动解决问题，适应目标导向和快速迭代的工作环境。 5. 有从 0 到 1 搭建用户分层、用户生命周期运营体系的经验。 6. 有负责过购买用户规模、复购率、购频、留存、LTV 等核心指标的经验。 7. 熟悉电商平台用户增长、补贴策略、权益体系、场域承接、商品供给和转化路径优化。 8. 具备较强的数据分析能力，能使用 SQL 或与数据团队高效协作完成分析。 9. 既能做策略判断，也能推动产品化、机制化、系统化落地。

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against poizon/index's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on poizon/index's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    poizon/index's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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