险角电影国语完整版在线观看|ww好吊妞988gaocom|久久国产精品毛片|老婆的诱惑完整版电影在线观看,国产不卡视频在线,亚洲久久综合,天堂在线中文字幕

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(yùn)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(yùn)營經(jīng)理，收集和分析與各類官方平臺、內(nèi)部系統(tǒng)和社交媒體官方賬號相關(guān)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(guān)系管理平臺（CRM）進(jìn)行精準(zhǔn)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(jìn)行處理和分析，最終協(xié)助優(yōu)化用戶體驗(yàn)，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(qū)動的高級數(shù)據(jù)運(yùn)營專員。您將成為業(yè)務(wù)團(tuán)隊(duì)與數(shù)據(jù)技術(shù)之間的核心橋梁，不僅負(fù)責(zé)將原始數(shù)據(jù)轉(zhuǎn)化為深刻的業(yè)務(wù)洞察，更將參與數(shù)據(jù)基礎(chǔ)設(shè)施的完善和數(shù)據(jù)模型的構(gòu)建，直接驅(qū)動業(yè)務(wù)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(shí)際商業(yè)價值，這個職位將是您的舞臺。 崗位職責(zé) 1. 策略與精細(xì)化運(yùn)營 負(fù)責(zé)公司客戶管理管理（CRM）平臺的日常配置、運(yùn)營和維護(hù)，確保用戶生命周期管理流程順暢。 與直營渠道（DTC）團(tuán)隊(duì)溝通合作，設(shè)計并執(zhí)行營銷活動，并對活動效果進(jìn)行深度歸因分析，量化ROI，提出優(yōu)化建議。 輔助運(yùn)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(biāo)簽，并應(yīng)用于CRM平臺，提高營銷準(zhǔn)確度和效率。 （優(yōu)先） 具備設(shè)計并實(shí)施A/B測試的能力，通過嚴(yán)謹(jǐn)?shù)膶?shí)驗(yàn)數(shù)據(jù)驗(yàn)證假設(shè)，并持續(xù)迭代和優(yōu)化用戶觸達(dá)策略。 2. 業(yè)務(wù)分析和數(shù)據(jù)可視化 將復(fù)雜數(shù)據(jù)轉(zhuǎn)化為清晰、直觀的可視化報表和Dashboard，滿足業(yè)務(wù)團(tuán)隊(duì)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(yùn)營工作；交付涉及業(yè)務(wù)趨勢表現(xiàn)、KPI關(guān)鍵指標(biāo)完成度、以及營銷推廣表現(xiàn)的日常報告和專題報告。 響應(yīng)業(yè)務(wù)部門的臨時數(shù)據(jù)分析需求，進(jìn)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(wù)發(fā)展趨勢進(jìn)行專題深度分析，挖掘潛在商業(yè)機(jī)會與風(fēng)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(tuán)隊(duì)一起設(shè)計、優(yōu)化、植入官方平臺（官方App，小程序）的用戶行為埋點(diǎn) 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(zhuǎn)化。 3. 數(shù)據(jù)建模與算法應(yīng)用 掌握核心數(shù)據(jù)建模理論與方法，能夠結(jié)合業(yè)務(wù)需求獨(dú)立進(jìn)行數(shù)據(jù)模型的設(shè)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(jī)會。 （優(yōu)先） 具有用戶生命周期價值（LTV）模型、Look-alike相似人群擴(kuò)展、用戶分群（如高價值用戶識別）、流失預(yù)警等建模經(jīng)驗(yàn)，并能將模型結(jié)果應(yīng)用于精準(zhǔn)營銷業(yè)務(wù)場景。 4. 數(shù)據(jù)基礎(chǔ)設(shè)施建設(shè)和其他日常工作 理解數(shù)據(jù)倉庫、數(shù)據(jù)湖等基礎(chǔ)架構(gòu)原理，能夠獨(dú)立進(jìn)行數(shù)據(jù)血緣探查、數(shù)據(jù)源分析和技術(shù)調(diào)研。 與IT部門及第三方團(tuán)隊(duì)緊密協(xié)作，參與底層數(shù)據(jù)架構(gòu)的討論、設(shè)計和搭建，確保數(shù)據(jù)體系的可靠性與擴(kuò)展性。 完成分配的其他工作，如項(xiàng)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(guān)分析解決方案的完整項(xiàng)目經(jīng)驗(yàn)（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(shí)踐經(jīng)驗(yàn)。 具備機(jī)器學(xué)習(xí)建模、分布式計算工具（Spark，Hive，Hadoop）的實(shí)際操作經(jīng)驗(yàn)將會是加分項(xiàng)。 有強(qiáng)力意愿和能力來推動跨業(yè)務(wù)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(shí)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(dǎo)實(shí)際工作。 扎實(shí)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(jié)果。 教育背景 持有定量學(xué)科，如數(shù)學(xué)、統(tǒng)計學(xué)、計量經(jīng)濟(jì)學(xué)、商業(yè)分析、計算機(jī)科學(xué)或相關(guān)領(lǐng)域?qū)W士或以上學(xué)位。