蚂蚁金服蚂蚁国际-战略部-BI Specialist-Shanghai-万里汇WorldFirst
任职要求
• One to five years experience in data analysis and business decision-making, with backgrounds in industries such as payment, e-commerce, internet finance, and data consulting • Familiar with cutting-edge data solutions in the industry • Proficient in independently writing business data analysis reports and able to communicate efficiently with business and operations teams • Has a successful experience of data-driven business implementation, solving practical pro…
工作职责
• 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 • 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 • 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
1.行业对标与战略洞察（咨询式研究） •开展半导体标杆企业组织与人才的案例研究，拆解人才策略、产能人效比等关键指标 •建立半导体行业动态监测体系：追踪技术路线（如存储芯片进展）、政策、人才流动趋势 •输出可落地的建议报告（咨询式PPT框架：问题树分析→数据验证→解决方案） 2.数据建模与决策支持（连接业务场景） •构建半导体各领域人效分析模型 •从数据看板到数据分析：将HR数据（离职率、胜任力缺口）转化为业务语言 3.知识管理 •维护组织效能、人才效能指标库 •开发内部知识工具 4.组织发展、人才发展支持类工作
1. 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、竞对分析体系，从宏观趋势到业务本身相关产品、用户、营销等全方位的分析中挖掘机会点，辅助业务一号位制定清晰合理的战略规划，建立KPI追踪机制，保障战略的有效透传和执行。 2. 从业务健康度的角度设计业务分析评估体系，设定KPI及核心过程监控指标，并独立完成所有追踪分析，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. 根据沉淀的分析思路与框架，与上下游团队协作（如数据技术、数据产品团队）持续完善底层数据资产建设、提炼数据产品需求，并推动数据资产建设及数据产品迭代的落地，持续推动业务部门的数据化运营。
Business Analysis & Reporting • Conduct comprehensive business analysis to support decision-making across departments. • Prepare detailed reports, dashboards, and presentations to communicate insights to stakeholders. • Develop and maintain key performance indicators (KPIs) to measure business performance. Data Pipeline Development: • Design, build, and maintain scalable data pipelines using SQL, Spark, and other relevant technologies. • Optimize data pipelines for performance, reliability, and efficiency. Data Governance & Quality: • Ensure data accuracy, consistency, and reliability through data profiling and cleansing processes. • Collaborate on data governance initiatives to establish standardized data practices. • Monitor and improve data quality to support accurate business decision-making. Business Intelligence & Visualization: • Develop interactive data dashboards and reports using BI visualization tools (e.g., Power BI) to support business reviews and technical monitoring. • Translate complex data into clear and actionable insights. Data Support & Troubleshooting: • Manage and prioritize data support requests from business and product teams. • Troubleshoot and resolve data-related issues across multiple systems, ensuring data consistency. • Proactively identify and resolve data discrepancies. Data Integration: • Design and build scalable data integrations to support business needs. • Collaborate with engineering teams to develop and maintain high-volume inbound and outbound integrations. Collaboration: • Work closely with cross-functional teams, including product managers, engineers, and business stakeholders.
1.产品商业化全流程管理： -负责新产品从立项到市场落地的全流程设计和优化，推进商业化策略落地； -跨部门协同研发、市场、销售团队，提升产品市场转化率。 2.生态伙伴管理： -制定生态伙伴准入、合作模式及政策迭代，协助业务维护技术/行业合作伙伴； -推动生态协同创新，提升产品市场竞争力。 3.系统搭建与数据化运营： -辅助设计产品管理、生态伙伴管理等数字化系统，提升运营效率； -通过数据分析驱动产品优化，追踪用户增长、ROI等核心指标。 4.竞品与市场分析： -输出竞品分析报告，提出产品差异化策略； -协同战略部制定市场进入策略。