职位介绍：
上海迪士尼度假区收益管理与分析部门基于先进的数据分析，为度假区内外的顾客提供商业解决方案。该部门负责整个度假区的收益管理与分析工作，涵盖预测与规划、定价与收益管理、决策科学支持等核心职能。
工作内容：
- 收入报告及分析
- 收集，处理, 分析从各个渠道的收入相关数据，高效且准确整合，输出短期/长期报告
- 与相关团队协作，及时掌握业务与产品动态，维护底层数据，确保收入指标的准确性
- 运用统计与机器学习手段，挖掘业务驱动因子，输出高阶洞察
- 面向管理层汇报业务情况，以结构化叙事方式呈现关键业务指标和见解
- 持续推动收入报告及分析流程迭代，提升组织级效率
- 短期/长期收入预测与规划
- 系统性构建、优化并迭代预测模型，将季节性、定价、产品策略等业务驱动因素纳入模型，设定合理的量价目标
- 建立差异分析框架，量化预测偏差根因，持续优化预测准确性
- 分析数据背后驱动因素，深入理解各项因素的影响，并推动预测流程自动化
- 提升业务报告的数据可视化效果，以强化商业洞察传达
- 投资项目收益评估和复盘
- 根据公司战略规划，参与投资项目收益预测，评估商业假设，搭建收益模型
- 调研市场信息，分析形势和机会，测算收益，并进行敏感性测试与情景分析
- 密切与跨部门团队合作交流合作，及时完善分析，逻辑清晰地呈现评估思路和结论
- 项目完成后进行全面复盘，识别机会点并输出观点
- 定价策略和收益分析
- 利用统计和数据模型分析园区产品的价格弹性
- 制定与整体业务优先级一致的门票等产品定价策略
- 构建并优化分析模型，在需求与价格之间取得最佳平衡，实现收益最大化
我们希望您：
- 拥有统计学、商业分析、经济学、财务、金融、工业工程或相关学科学位
- 研究生拥有2年以上，或者本科3年以上商业、财务或统计分析领域的相关工作经验
- 精通财务建模、统计建模及收益管理理论（价格弹性、动态定价等）
- 熟练掌握SQL, Python, Excel, PPT, Tableau等
- 具备出色的中英文书面及口头沟通能力和与高层汇报能力
- 具有团队合作精神、跨职能协同经验，关注细节与交付质量
- 拥有卓越的问题解决能力和系统性思维，善于以数据叙事，将复杂分析转化为商业洞察
- 具备主人翁意识与抗压能力，能在快节奏环境中交付高影响力成果
- 自我驱动，结果导向，追求卓越
Job Summary:
The Shanghai Disney Resort Revenue Management & Analytics team provides advanced analytics and business advice to both internal and external clients across the theme park and resort. The team is responsible for revenue management and analytics for the overall resort project, which includes Forecasting and Planning, Pricing & Revenue Management, and Decision Science Support.
Key Responsibilities:
- Revenue Reporting and Analysis
- Support and deliver internal and external revenue reports with high accuracy and efficiency
- Collaborate with relevant teams to stay informed of business and product strategy, and timely maintain the data to ensure the accuracy of RMA database and revenue metrics
- Understand business dynamics and analyze results using data-driven approaches for insights
- Present critical business metrics and insights to leadership in a clear, concise manner
- Drive continuous improvement in the automation of reporting and analysis processes
- Short-term and Long-term Revenue Forecast and Planning
- Develop, refine, and optimize forecasting models incorporating business drivers such as seasonality, pricing strategies, and product initiatives to set proper volume and rate targets
- Analyze variances between actual and forecast across key metrics and influencing factors, and continuously improve the forecast accuracy
- Lead advanced analytics initiatives and champion the automation of forecast process
- Enhance business presentations and data visualizations for business insights
- Project Revenue Projection & Post-Mortem Evaluation
- Evaluate business initiatives and construct robust revenue models for investment projects
- Research market information and conduct sensitivity test for scenario analysis
- Collaborate closely with cross-functional teams, refine analyses promptly, and present evaluation results with logical structure and clarity
- Conduct comprehensive post-mortem evaluations upon project completion to systematically identify improvement opportunities and capture key lessons learned
- Pricing Strategy & Revenue Management
- Analyze pricing elasticity for park products leveraging statistical models
- Design effective pricing strategies for tickets that align with broader business priorities
- Build and improve analytical models to optimize yield by balancing demand and rate
Desired Qualifications:
- Bachelor’s degree or above in Statistics, Data Analytics, Economics, Finance, Industrial Engineering, or a related quantitative field.
- Master’s degree with a minimum of 2 years of relevant experience, or Bachelor’s degree with at least 3 years of experience in business, finance, data analysis, or planning.
- Advanced financial and statistical modeling skills with strong business acumen
- Proficient in Excel, SQL, PowerPoint, and data visualization tools (e.g., Tableau), and experience in Python for data processing and analytics
- Excellent written and verbal communication skills in both English and Chinese, and strong storytelling and presentation abilities
- Team-player, collaborative, with a strong sense of ownership, and attentive to detail
- Exceptional problem-solving abilities and analytical thinking; able to synthesize complex data into actionable insights
- Proactive mindset, dedicated to continuous improvement and delivering high-impact results
- Strategic thinker, adept at anticipating challenges and identifying long-term opportunities
- Self-motivated and proactive, striving for excellence
