Job Title: Sr. Specialist, Data Operations Job Summary The Data Solution Department operates under the Marketing and Sales Division of Universal Beijing Resort. This role will assist the Data Operation Manager in collecting and analyzing data from various official platforms, internal systems and social media accounts. By mining and gaining deep insights into user online and offline behaviors and profile data, the candidate will utilize the Customer Relationship Management (CRM) platform to conduct precision marketing and establish a comprehensive closed-loop marketing framework encompassing “data collection – analytical insight – marketing testing – optimization and iteration.” The ideal candidate should be capable of processing and analyzing large volumes of user data using diverse analytical, modeling, and visualization tools, ultimately helping to enhance user experience, improve marketing effectiveness, and increase revenue. We are seeking a passionate and data-driven Senior Data Operation Specialist. You will serve as a critical bridge between business teams and data technology, not only transforming raw data into actionable business insights but also contributing to the improvement of data infrastructure and the construction of data models. Your work will directly drive business growth and inform decision-making optimization. If you are enthusiastic about using data to uncover stories, solve problems, and create tangible business value, this position will be an ideal stage for your talents. Major Responsibilities 1. Custom Relationship Management Strategy and Operations CRM Responsible for the daily configuration, operation, and maintenance of the company’s Customer Relationship Management (CRM) platform to ensure smooth user lifecycle management processes. Collaborate with the Direct-to-Consumer (DTC) team to design and execute marketing campaigns, perform in-depth attribution analysis on campaign effectiveness, quantify ROI, and provide optimization recommendations Support the operation of second-party and third-party Data Management Platforms (DMPs) to discover and define multi-dimensional customer profiles and tags, applying these insights to the CRM platform to enhance targeting accuracy and efficiency. (Preferred) Experience in designing and implementing A/B tests, using rigorous experimental data to validate hypotheses, and continuously iterating and optimizing user engagement strategies 2. Business Analysis and Data Visualization Transform complex data into clear and intuitive visual reports and dashboards to meet the monitoring and decision-making needs of business teams. Support the operation of UBR official digital destinations (App, Mini-program, flagship store on 3rd party platform, social media) and OTA/TTA accounts by delivering regular and ad-hoc analytics featuring trending performance, KPI monitoring results, and marketing promotion (product, coupon, seasonal offering) performances. Respond to ad-hoc data analysis requests from business departments by extracting, cleaning, and integrating data, and providing multi-dimensional, in-depth insights. Proactively conduct deep-dive analyses based on business development trends to identify potential opportunities and risks, and provide data-supported actionable insights. Collaborate with IT and Direct-to-Consumer product team on content and behavior tagging implementation and adjustment for each product/version release for UBR official digital destinations (App, Mini-program). Leverage key analytical approaches such as funnel analysis, churn analysis, cohort analysis to glean actionable insights around user engagement and experience to optimize the operation of official digital destinations. 3. Data Modeling and Algorithm Application Proficient in core data modeling theories and methods; able to independently design, develop, deploy, and iteratively optimize data models based on business requirements. Mine out insights around customer demographic profiles based on Customer Data Platform and connect with broader scope of online/offline behaviors across marketing campaign and digital destinations to curate high value customer segments and identify business opportunities. (Optional) Experience with user Lifetime Value (LTV) modeling, Look-alike audience expansion, user segmentation (e.g., high-value customer identification), churn prediction, and other modeling techniques, with the ability to apply model outcomes to precision marketing scenarios. 4. Data Infrastructure Development and Other Routine Tasks Understand fundamental principles of data infrastructure such as data warehouses and data lakes; capable of independently conducting data lineage analysis, source data analysis, and technical research. Work closely with IT and third-party teams to participate in the discussion, design, and development of underlying data architectures, ensuring reliability and scalability of the data ecosystem. Perform other duties as assigned, e.g. project billing management. Qualifications At least 5 years of Digital Analytics experience – capable of using Adobe Analytics, Google Analytics, Sensors Data, or the equivalent. Practical experience with scripting languages (e.g. SQL, Python) and data visualization tool (e.g. Tableau, Quick BI). Working knowledge of machine learning techniques, distributed computing tools (Spark, Hive, Hadoop, etc.) and will be a plus. Strong commitment in cross-function collaboration and willingness to manage the job priority from organization standpoint. Driving actionable insights over the delivery of reports; capable of distilling knowledge from data that will help decide what to build and how it should work. Solid English writing and presentation skills. Proven history of providing deep level analysis in an understandable manner. Education Prefer BA or BS degree in quantitative disciplines, including Mathematics, Statistics, Econometrics, Business Analytics, Computer Science, or related field. 职位名称: 数据运营高级专员 职位概要 数智解决方案部隶属于北京环球度假区市场营销和销售部。该职位将协助数据运营经理，收集和分析与各类官方平台、内部系统和社交媒体官方账号相关的数据，通过对用户线上、线下行为和画像数据的挖掘和深度洞察，利用客户关系管理平台（CRM）进行精准营销，建立一套完善的“数据收集-分析洞察-营销测试-优化迭代”闭环营销体系。候选人需能通过多样性的分析、建模和可视化工具对海量用户数据进行处理和分析，最终协助优化用户体验，提升营销效果，增加营收。 我们正在寻找一位充满激情和数据驱动的高级数据运营专员。您将成为业务团队与数据技术之间的核心桥梁，不仅负责将原始数据转化为深刻的业务洞察，更将参与数据基础设施的完善和数据模型的构建，直接驱动业务增长和决策优化。如果您热爱通过数据发现故事、解决问题并创造实际商业价值，这个职位将是您的舞台。 岗位职责 1. 策略与精细化运营 负责公司客户管理管理（CRM）平台的日常配置、运营和维护，确保用户生命周期管理流程顺畅。 与直营渠道（DTC）团队沟通合作，设计并执行营销活动，并对活动效果进行深度归因分析，量化ROI，提出优化建议。 辅助运营二方和三方数据管理平台（DMP）来发现和定义更多维度的客户画像和标签，并应用于CRM平台，提高营销准确度和效率。 （优先） 具备设计并实施A/B测试的能力，通过严谨的实验数据验证假设，并持续迭代和优化用户触达策略。 2. 业务分析和数据可视化 将复杂数据转化为清晰、直观的可视化报表和Dashboard，满足业务团队的监控和决策需求。 支持官方数字平台（App，小程序，三方旗舰店，社交媒体账号），OTA/TTA的日常数据运营工作；交付涉及业务趋势表现、KPI关键指标完成度、以及营销推广表现的日常报告和专题报告。 响应业务部门的临时数据分析需求，进行数据提取、清洗和整合，并提供多维度、深层次的洞察。 主动基于业务发展趋势进行专题深度分析，挖掘潜在商业机会与风险，并形成有数据支撑的可行性建议。 与IT和DTC产品团队一起设计、优化、植入官方平台（官方App，小程序）的用户行为埋点 利用专业分析方法（比如漏斗分析，流失分析，同期群分析等）提供可执行性洞察来优化官方平台用户留存和转化。 3. 数据建模与算法应用 掌握核心数据建模理论与方法，能够结合业务需求独立进行数据模型的设计、开发、部署和迭代优化。 挖掘基于客户数据平台（CDP）的用户人口统计画像，并和通过营销活动以及官方平台采集的线上线下用户行为数据串联，找到高价值客户群和商业机会。 （优先） 具有用户生命周期价值（LTV）模型、Look-alike相似人群扩展、用户分群（如高价值用户识别）、流失预警等建模经验，并能将模型结果应用于精准营销业务场景。 4. 数据基础设施建设和其他日常工作 理解数据仓库、数据湖等基础架构原理，能够独立进行数据血缘探查、数据源分析和技术调研。 与IT部门及第三方团队紧密协作，参与底层数据架构的讨论、设计和搭建，确保数据体系的可靠性与扩展性。 完成分配的其他工作，如项目账单管理等。 任职资格 至少5年的数字平台分析或CRM系统操作相关分析解决方案的完整项目经验（如Adobe Analytics, Google Analytics，神策等）。 具有使用脚本语言（如 SQL, Python）和数据可视化工具（如 Tableau、QuickBI）的实践经验。 具备机器学习建模、分布式计算工具（Spark，Hive，Hadoop）的实际操作经验将会是加分项。 有强力意愿和能力来推动跨业务沟通和合作，并从组织高度来评估管理工作优先级。 有能力推动挖掘具可操作性和实时性的洞察，而不仅仅是提供报告；能够从数据中提取知识来指导实际工作。 扎实的英语写作和演讲技巧。 有能力对一般听众清楚阐释深度分析逻辑和结果。 教育背景 持有定量学科，如数学、统计学、计量经济学、商业分析、计算机科学或相关领域学士或以上学位。