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Open nowPosted 365 days ago

数据分析师

boke/index476 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now数据分析师boke/index · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. boke/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 365 days ago

boke/index median: 1 days open

The posting

我们目前在研一款中东Domino游戏,(可以理解为过去的QQ游戏大厅,作为平台里面有不同游戏合集,包括Domino,Ludo,国际象棋等),目前是埃及游戏榜Top3! 身为项目组的数据分析师,你会在项目中拥有较高的自主权和决定权。我们鼓励自己提出和把控方向而非单纯执行,也鼓励分析项目数据主动提出优化想法。我们希望在这里,你能快速接触和全面学习产品研发的过程和结果把控,并不断通过反馈正向积累数据经验,与大家共同成长!

岗位职责: 1、主导构建行为型 PLTV / 用户价值评估模型 - 在低付费率场景下,基于用户行为数据定义用户价值指标 - 设计特征体系、样本标签与评估方法,输出可运营的用户分层结果 2、设计并迭代外挂 / 刷子识别与监控方案 - 结合规则与数据建模手段,提升异常用户识别效果 - 建设刷子监控看板,支持风控与运营策略 3、建立优质用户识别与行为路径模型 - 分析优质用户的共性特征与关键行为路径 - 为增长策略、产品设计提供数据支持与建议 4、推动分析与模型结果产品化 - 设计并维护 PLTV 看板、用户分层视图、监控类报表 - 确保数据结果可被业务理解、使用和持续跟进 5、与用户增长、策划等角色深度协作 - 从业务目标出发定义分析问题 - 推动数据结论在策略中的实际落地与验证

任职要求: 1、必须具备 - 本科及以上学历,数学 / 统计 / 计算机 / 数据相关专业优先 - 精通 SQL,可独立完成复杂 Join、窗口函数、用户级行为聚合与性能优化 - 熟练使用 Python 进行数据分析与建模(Pandas / Sklearn 等) - 扎实的数据分析能力:用户分层、漏斗、留存、行为特征构建 - 具备 独立建模能力,理解常见模型(回归 / 分类 / 树模型等)及评估方法 - 能从业务问题出发,独立设计分析/建模方案并推进落地 2、加分项 - 有 PLTV / LTV / 用户价值建模 实战经验 - 有 反作弊 / 异常检测 / 风控分析 相关经验 - 熟悉 A/B 实验设计、数仓体系(Hive / Spark / ClickHouse) - 有游戏或用户增长相关分析经验

我们秉承“BE WILD. BE FREE.”的品牌主张,坚持始终创业、简单务实、开放包容、勇于担当的文化理念。在这里—— 【态度】我们讲求自驱,不设边界,没有人能定义你的舞台和天花板; 【氛围】内部真·扁平,新人的意见、不同的观点都有可能成为波克前行的关键; 【成长】入职即有指导人和成长伙伴双cover,内部分享+外聘大神助你突破自我; 【生活】一日三餐下午茶,房补公寓任你选,节日社团境外游...让游戏不只是工作,更是你的生活!

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