美团Keeta-商业分析师(产品目标及策略)-北京
任职要求
1.能深入理解产品逻辑,尤其是toC的交易型产品的逻辑 2.扎实掌握统计学知识,对数据敏感,对微观的数据分析感兴趣,有产品相关的数据分析经验者优先考虑 3.有极强的沟通能力,能够与产品经理对话,并协同产品和业务团队推动事情发生 4.具有较强抗压能力,能做好时间管理
工作职责
1.建设面向产品团队的目标管理机制,理清产品团队的指标体系,包括但不限于核心结果指标,关键输入性指标等 2.基于目标拆解经营框架,帮助发现产品主动做功的机会点,形成可以做功的策略方向 3.建立完善产品团队在经营中的异动监控机制,发现异常指标,进行有效分析和正确归因,洞察关键的经营信号 4.分析评估产品团队直接做功的策略效果,包括但不限于使用AB实验评估等方法,寻找问题和可以进一步迭代的方向
1,Keeta大区搜推BP,和产品、运营深度协作设定搜推目标,优化搜索和推荐算法策略,提升用户体验、支持业务目标达成。 2,负责搜推流量机制算法方向,支持不同国家在商家生态方向的目标达成,包括冷启动、高端供给提升等。 3,跟进业界排序机制、强化学习、大语言模型等方向前沿技术,探索在Keeta搜推业务场景落地。 4,团队算法人才的招聘和培养
1. 负责销售全流程数据监控、分析工作,洞察业务增长点,并能及时定位和预警业务存在的问题和风险点,提供策略方向和改善建议; 2.深入理解业务经营规划和业务模式,通过销售绩效考核与激励方案的设计,建立与业绩目标和经营导向高度契合的正向驱动机制,保障业务目标达成; 3.建设数据报表,推进业务数据产品的建设,提升销售及运营团队的运行效率。 1. Responsible for end-to-end sales data monitoring and analysis, identifying business growth opportunities, promptly detecting and alerting potential issues/risks, and providing strategic recommendations for improvement. 2.Gain a deep understanding of the business operational strategy and model, and design sales performance evaluation and incentive programs to establish a positively-driven mechanism that aligns closely with performance goals and operational objectives, ensuring the achievement of business targets. 3.Build data dashboards/reports, drive the development of business data products, and enhance the operational efficiency of sales and operations teams.
1. 对B端经营分析体系的质量负责,完善输入、输出指标,迭代会议与报告形式,提升信息密度、准确性与及时性。 2. 对B端各项指标口径的准确性、一致性、可得性负责,围绕业务目标制定并迭代合理且严谨的指标口径,并与数据产品、商分保持高度共识。 3. 配合业务策略方向输出专项报告,包括复杂问题的研究、关键策略的复盘等。为业务决策提供高质量的信息输入。 4. 为B端团队建设数据看板,支撑业务日常看数需求;配合产品运营推动常用看板的产品化与可视化。 5. 搭建团队,招募并培养有行业洞见、有专业深度的分析师团队。 1. Responsible for the quality of the B-side business analysis system, improving metrics, iterating meeting and report formats to enhance information density, accuracy, and timeliness. 2. Responsible for the accuracy, consistency, and availability of B-side metrics, formulating reasonable and rigorous metric standards, and maintaining high consensus with data products and business divisions. 3. Produce specialized reports, including project pre-research and key strategy reviews, providing high-quality information input for business decision-making. 4. Develop data dashboards for the B-side team to support daily data needs; collaborate with product operations to drive the productization and visualization of dashboards. 5. Build the team, recruit and develop an analyst team with insights and professional depth.