蚂蚁金服蚂蚁国际-商业数据分析专家-战略部
任职要求
1. More than seven years’ experience in business analysis (must have), consulting (fintech related) or credit related operation (e.g. risk strategy, data-driven acquiring). Proficient in independently writing business data analysis reports and able to communicate efficiently with business and operations teams. 2. Has a successful experience o…
工作职责
1. Understand the business and conduct business analysis by combining internal and external data to provide analysis support for company strategy, tactical decisions, and operational decisions. 2. Obtain market/industry/competitor information through various channels, establish and continually improve the analysis systems for market, industry trends, and competitor tracking. Analyze all aspects, from macro trends to micro individual strategies, core competencies, product features and experiences, users, marketing, etc. Identify opportunities and provide professional business suggestions, and assist with implementation. 3. Design a business analysis evaluation system from the perspective of business model health, including KPIs and core process monitoring indicators, and complete all tracking and analysis. Provide objective and professional evaluations of business results and give suggestions and opinions for business development, and assist with implementation. 4. Based on the accumulated analysis framework, extract data product requirements, collaborate with relevant teams (such as the technology development team), and promote the landing of data products.
1.结合AI工具，深入研究所持业务线的基本情况，包括门店、城市、销售团队、市场等维度，并建立评估模型，输出有助于业绩提升的策略建议； 2.跟进项目工作，包括前期论证、期中执行、以及结果复盘和迭代等工作； 3.根据对业务进展情况的掌握，制定销售奖金激励方案，驱动销售团队达成目标； 4.能够将岗位工作与AI工具衔接，持续沉淀AI应用案例和方法。
1. 负责结合公司发展规划和行业特性，设计经营分析管理体系，包括计划&预算、报告分析及绩效评价等；负责例行输出报告、结论及管理建议； 2. 负责综合业界领先实践和内部经营分析的场景需求，设计并迭代业财主数据管理体系，定期开展主数据质量监控和治理； 3. 负责推动解决经营分析和主数据管理相关的异常问题，必要时驱动业务流程或IT系统改造，过程中建立、维护和业财相关业务团队和职能部门的沟通机制。
1、内部经营分析：基于业务目标及商业模式，搭建全面、准确、客观的指标体系和监控框架。同时基于业务监控体系，清晰洞察业务全局和定位业务问题； 2、通过数据挖掘，搭建指标体系，利用数据&算法技术帮助业务洞察趋势、异常、机会点。对业务问题进行深入分析，为平台机制、行业/商家策略、产品方向、资源投入策略等业务决策提供数据和分析支撑，输出经营管理建议，协助达成业务目标并提升效率； 3、将监控体系及分析方法逐步总结沉淀，抽象、提炼数据产品需求，与产品、数据技术等相关团队开展跨部门合作并推动数据产品的落地；
1. 了解云计算行业的商业运转逻辑，在明确云计算及相关业务策略打法和动因基础上，协同业务团队及数据上下游链路，沉淀业务标准化的数据运营可视化看板，确保业务核心链路和关键决策数据口径准确、指标规范、业务数据语言体系一致； 2. 能够做好MRR/ARR、客户分层、商机转化与业绩考核过程管理； 3. 通过数据分析，挖掘策略落地各环节的效能增长点和异动追因，找到关键要素，形成对业务发展状态的综合判断，并输出有效建议。