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.通过内外部数据结合,开展深入商业分析,为业务拓展、运营优化及战略规划方面提供数据支持和决策依据 2. 从商业模式健康度的角度设计业务分析评估体系,KPI及核心过程监控指标,并完成所有追踪、分析,对业务结果给出客观专业评价,对业务发展给出建议和意见,并协助落地执行 3. 通过各类渠道获取市场/行业/竞对信息,搭建并不断完善市场、行业前沿、竞对追踪分析体系,从宏观趋势到微观个体的策略、核心竞争力、产品功能及体验、用户、营销等全方位的分析,挖掘机会点,给到业务专业建议,并协助落地执行 4. 根据沉淀的分析思路与框架, 提炼数据产品需求,与相关团队(如技术开发团队) 协作并推动数据产品的落地 5. 与相关团队协作进行数据建模和快速迭代,规划和优化数据资产管理体系,设计并推动数据治理标准的落地,包括数据采集、清洗、存储等。
1、深入理解公司的战略意图和策略打法,敏锐洞察业务和客户痛点,并利用内外部数据以及定性定量分析方法,为业务决策和产品方向提供有力的数据支持和可执行的建议; 2、持续追踪市场和行业趋势,形成结构化的数据报告和深入洞察,为业务发展和规划提供核心依据; 3、构建和维护全面、准确的指标体系,能反映服务业务线的特征,并基于日常指标监控及时发现并定位业务问题; 4、沉淀分析思路和框架,提炼数据资产和数据产品需求,推动数字资产和数据产品的完善和建设。
1、深入理解公司的战略意图和策略打法,敏锐洞察业务和客户痛点,并利用内外部数据以及定性定量分析方法,为业务决策和产品方向提供有力的数据支持和可执行的建议; 2、持续追踪市场和行业趋势,形成结构化的数据报告和深入洞察,为业务发展和规划提供核心依据; 3、构建和维护全面、准确的指标体系,能反映服务业务线的特征,并基于日常指标监控及时发现并定位业务问题; 4、沉淀分析思路和框架,提炼数据资产和数据产品需求,推动数字资产和数据产品的完善和建设。