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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. 職位名稱: 數(shù)據(jù)運營高級專員 職位概要 數(shù)智解決方案部隸屬于北京環(huán)球度假區(qū)市場營銷和銷售部。該職位將協(xié)助數(shù)據(jù)運營經(jīng)理，收集和分析與各類官方平臺、內部系統(tǒng)和社交媒體官方賬號相關的數(shù)據(jù)，通過對用戶線上、線下行為和畫像數(shù)據(jù)的挖掘和深度洞察，利用客戶關系管理平臺（CRM）進行精準營銷，建立一套完善的“數(shù)據(jù)收集-分析洞察-營銷測試-優(yōu)化迭代”閉環(huán)營銷體系。候選人需能通過多樣性的分析、建模和可視化工具對海量用戶數(shù)據(jù)進行處理和分析，最終協(xié)助優(yōu)化用戶體驗，提升營銷效果，增加營收。 我們正在尋找一位充滿激情和數(shù)據(jù)驅動的高級數(shù)據(jù)運營專員。您將成為業(yè)務團隊與數(shù)據(jù)技術之間的核心橋梁，不僅負責將原始數(shù)據(jù)轉化為深刻的業(yè)務洞察，更將參與數(shù)據(jù)基礎設施的完善和數(shù)據(jù)模型的構建，直接驅動業(yè)務增長和決策優(yōu)化。如果您熱愛通過數(shù)據(jù)發(fā)現(xiàn)故事、解決問題并創(chuàng)造實際商業(yè)價值，這個職位將是您的舞臺。 崗位職責 1. 策略與精細化運營 負責公司客戶管理管理（CRM）平臺的日常配置、運營和維護，確保用戶生命周期管理流程順暢。 與直營渠道（DTC）團隊溝通合作，設計并執(zhí)行營銷活動，并對活動效果進行深度歸因分析，量化ROI，提出優(yōu)化建議。 輔助運營二方和三方數(shù)據(jù)管理平臺（DMP）來發(fā)現(xiàn)和定義更多維度的客戶畫像和標簽，并應用于CRM平臺，提高營銷準確度和效率。 （優(yōu)先） 具備設計并實施A/B測試的能力，通過嚴謹?shù)膶嶒灁?shù)據(jù)驗證假設，并持續(xù)迭代和優(yōu)化用戶觸達策略。 2. 業(yè)務分析和數(shù)據(jù)可視化 將復雜數(shù)據(jù)轉化為清晰、直觀的可視化報表和Dashboard，滿足業(yè)務團隊的監(jiān)控和決策需求。 支持官方數(shù)字平臺（App，小程序，三方旗艦店，社交媒體賬號），OTA/TTA的日常數(shù)據(jù)運營工作；交付涉及業(yè)務趨勢表現(xiàn)、KPI關鍵指標完成度、以及營銷推廣表現(xiàn)的日常報告和專題報告。 響應業(yè)務部門的臨時數(shù)據(jù)分析需求，進行數(shù)據(jù)提取、清洗和整合，并提供多維度、深層次的洞察。 主動基于業(yè)務發(fā)展趨勢進行專題深度分析，挖掘潛在商業(yè)機會與風險，并形成有數(shù)據(jù)支撐的可行性建議。 與IT和DTC產(chǎn)品團隊一起設計、優(yōu)化、植入官方平臺（官方App，小程序）的用戶行為埋點 利用專業(yè)分析方法（比如漏斗分析，流失分析，同期群分析等）提供可執(zhí)行性洞察來優(yōu)化官方平臺用戶留存和轉化。 3. 數(shù)據(jù)建模與算法應用 掌握核心數(shù)據(jù)建模理論與方法，能夠結合業(yè)務需求獨立進行數(shù)據(jù)模型的設計、開發(fā)、部署和迭代優(yōu)化。 挖掘基于客戶數(shù)據(jù)平臺（CDP）的用戶人口統(tǒng)計畫像，并和通過營銷活動以及官方平臺采集的線上線下用戶行為數(shù)據(jù)串聯(lián)，找到高價值客戶群和商業(yè)機會。 （優(yōu)先） 具有用戶生命周期價值（LTV）模型、Look-alike相似人群擴展、用戶分群（如高價值用戶識別）、流失預警等建模經(jīng)驗，并能將模型結果應用于精準營銷業(yè)務場景。 4. 數(shù)據(jù)基礎設施建設和其他日常工作 理解數(shù)據(jù)倉庫、數(shù)據(jù)湖等基礎架構原理，能夠獨立進行數(shù)據(jù)血緣探查、數(shù)據(jù)源分析和技術調研。 與IT部門及第三方團隊緊密協(xié)作，參與底層數(shù)據(jù)架構的討論、設計和搭建，確保數(shù)據(jù)體系的可靠性與擴展性。 完成分配的其他工作，如項目賬單管理等。 任職資格 至少5年的數(shù)字平臺分析或CRM系統(tǒng)操作相關分析解決方案的完整項目經(jīng)驗（如Adobe Analytics, Google Analytics，神策等）。 具有使用腳本語言（如 SQL, Python）和數(shù)據(jù)可視化工具（如 Tableau、QuickBI）的實踐經(jīng)驗。 具備機器學習建模、分布式計算工具（Spark，Hive，Hadoop）的實際操作經(jīng)驗將會是加分項。 有強力意愿和能力來推動跨業(yè)務溝通和合作，并從組織高度來評估管理工作優(yōu)先級。 有能力推動挖掘具可操作性和實時性的洞察，而不僅僅是提供報告；能夠從數(shù)據(jù)中提取知識來指導實際工作。 扎實的英語寫作和演講技巧。 有能力對一般聽眾清楚闡釋深度分析邏輯和結果。 教育背景 持有定量學科，如數(shù)學、統(tǒng)計學、計量經(jīng)濟學、商業(yè)分析、計算機科學或相關領域學士或以上學位。