阿里巴巴LAZADA-Business Analysis-Hangzhou
任职要求
1. 教育背景：优先考虑硕士及以上学历，专业聚焦于统计学、数学、经济学、工商管理、信息管理等相关领域。 2. 工作经验：具备至少3年以上商业分析、数据分析或相关领域工作经验。有互联网、金融、咨询等相关行业背景者优先考虑。 3. 技能要求： 熟练掌握数据分析工具和技术，如 SQL、Python、Excel 高级功能等等。能够熟练运用 Tableau 和 PowerBI 等数据可视化软件，直观且有效地展示数据。 拥有扎实的统计学基础，熟悉常见的数据分析方法和模型（如回归分析、聚类分析、预测模型等），并能将其有效应用于解决实际业务问题。 精通市场调研方法和技巧。能够独立设计并执行市场调研项目，收集和分析市场情报。 具备出色的书面和口头表达能力。能够撰写清晰、准确且有深度的数据分析报告和商业计划，并能与不同层级的受众进行有效沟通。 能熟练使用英语作为工作语言。阅读和撰写专业英语文档，与国际团队顺畅交流。 具备问题解决和决策能力。能够在复杂的数据驱动和业务场景中迅速准确地识别问题、分析根源，并制定切实有效的解决方案。 具备出色的学习和适应能力。紧跟行业趋势，不断学习和掌握新的数据分析技术和商业理念，为业务创新和发展持续注入动力。
工作职责
1. 商业策略支持 业务负责人密切且持续地沟通交流。运用数据分析和市场洞察，共同为公司的关键决策提供支持，助力制定契合市场趋势、发挥公司独特优势的商业战略 针对关键项目，与业务负责人合作开展深入的商业分析。全面了解业务需求与目标，评估项目可行性，预测潜在风险与收益，为业务决策提供详细的分析报告和切实可行的建议。 2. 数据分析与洞察 构建并优化商业数据分析体系。整合内外部数据源，运用数据挖掘、统计分析等先进技术挖掘数据背后的潜在商业价值。为业务线负责人提供定制化的数据驱动解决方案。 持续监测并精细分析关键绩效指标。及时与业务负责人同步分析结果，共同识别业务问题与机遇。利用数据分析预警潜在风险，与业务负责人探讨并制定有针对性的改进措施和优化方案，密切跟踪实施效果以持续改进。 3. 跨部门协作 与内部部门建立稳固持久的合作关系。尤其要与各部门业务负责人保持高频沟通。深入了解业务需求，提供量身定制的数据分析支持和决策建议。促进跨部门协同，推动整体业务增长。 代表商业分析团队参与重要会议和项目相关沟通。向管理层及其他部门清晰且有说服力地阐述数据分析结果和商业洞察。特别注重与业务负责人达成共识，确保公司决策基于准确一致的数据，从而保障业务活动的顺利推进。
1) Conduct comprehensive business insights analysis covering user behaviour, trend extraction, data interpretation, and insights generation in Search products. 2) Design and execute analysis to uncover insights critical for key business decisions. 3) Develop and maintain data frameworks, pipelines, and dashboards to identify and mitigate risks, as well as to capitalise on opportunities. 4) Collaborate with cross-functional teams to understand requirements, provide actionable insights, and drive continuous improvements in Search products. 5) Present findings and recommendations to stakeholders in a clear and compelling manner. 1. 进行全面的商业洞察分析，涵盖搜索产品中的用户行为分析、趋势分析、数据解读和洞察生成。 2. 设计和执行分析，揭示对关键业务决策至关重要的洞察。 3. 开发和维护数据框架、数据管道和报表，方便业务团队日常看数，及时发现机会点和风险点。 4. 与跨职能团队合作，了解需求，提供可操作的洞察建议，并推动搜索产品的持续改进。 5. 以清晰、有说服力的方式向决策层汇报分析结果，提供建议。
1.Business Support & Financial Analysis : Act as a strategic partner to business teams by deeply understanding the operating model, delivering regular P&L, cost, and profitability analysis, and supporting sustainable financial growth. 2.Decision Support:Provide data-driven insights and financial modeling for key initiatives such as new projects, pricing strategy, ROI analysis, and cost optimization, enabling informed and timely business decisions. 3.Management Reporting & Performance Tracking:Actively engage in budget, forecasting, and planning processes to ensure alignment between business strategies and financials; Prepare and deliver high-quality financial reports and KPI dashboards to management, offering actionable insights that support goal achievement and performance accountability. 4.Cross-functional Collaboration & Process Improvement: Work closely with functions such as PD, Tax, HR, Legal, and accounting to ensure compliance and drive improvements in financial processes, systems, and overall operational efficiency.
You will be responsible for the role as below: • Develop trusted working relationships with Marketing, Product and Finance functional teams, and be the key finance contact between the different teams • Handles all finance related matters which includes e.g. budgeting, rolling forecast, financial reporting, management accounts, financial analysis, business analysis, financial modelling etc. • Develop a detailed knowledge in marketing and consumer life cycle management domain to provide guidance and support to day-to-day activities, e.g. operational initiatives, projections etc • Strengthen analytics capability and governance around marketing initiatives to reduce financial losses and improve cost efficiency • Identify opportunities to ramp up operational workflow (business / finance), propose solutions and drive implementation • Work closely with stakeholders from business function, and finance team to align and support any business initiatives, reporting requirement
1) Conduct comprehensive business insights analysis covering user behaviour, trend extraction, data interpretation, and insights generation in Search products. 2) Design and execute analysis to uncover insights critical for key business decisions. 3) Develop and maintain data frameworks, pipelines, and dashboards to identify and mitigate risks, as well as to capitalise on opportunities. 4) Collaborate with cross-functional teams to understand requirements, provide actionable insights, and drive continuous improvements in Search products. 5) Present findings and recommendations to stakeholders in a clear and compelling manner. 1. 进行全面的商业洞察分析，涵盖搜索产品中的用户行为分析、趋势分析、数据解读和洞察生成。 2. 设计和执行分析，揭示对关键业务决策至关重要的洞察。 3. 开发和维护数据框架、数据管道和报表，方便业务团队日常看数，及时发现机会点和风险点。 4. 与跨职能团队合作，了解需求，提供可操作的洞察建议，并推动搜索产品的持续改进。 5. 以清晰、有说服力的方式向决策层汇报分析结果，提供建议。