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【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ 一、採購策略與商品管理 (約 70%)1. 分析市場銷售數據與季節性，發掘潛力商品並擬定相應的採購策略。2. 協助業務經理制定採購計畫，以維持合理的庫存水位。3. 持續追蹤商品銷售表現，計算潛在利潤並提供最佳採購建議。4. 透過價格策略維持並優化商品毛利率。5. 建立與分析銷售報表，辨識衰退品項並挖掘新的成長機會。二、流程優化與專案管理 (約 30%)1. 與跨部門合作，透過數據分析與自動化設計具擴展性與高效率的流程解決方案。2. 運用數據分析工具（Excel、SQL、Python、R 等）找出問題根因並驗證改善方案。3. 能獨立規劃並執行專案，於時程內交付具質量與影響力的成果。4. 善用內部系統工具，提出可行的流程優化建議並推動落地。任職條件1. 具 1–2 年以上相關工作經驗尤佳。2. 熟悉 Excel 基礎公式與功能（如：sum, count, xlookup, pivot, chart, VBA），具良好的數字敏感度；若具備 SQL 語法能力（如：JOIN, 欄位值轉換, 套件應用）及視覺呈現軟體（如：Looker, Tableau, PowerBI）則更佳。3. 具備獨立專案執行能力，能準時完成並交付成果。4. 擅長跨部門協調整合，並具備良好的數據分析與洞察能力。

建構與優化機器學習模型: 運用多維度運動數據（如賽事數據、球員表現），開發球員薪資計算、表現預測等核心模型，並持續進行優化。 支援產品與行銷決策: 深入分析用戶行為與市場趨勢，提供數據洞察，協助產品團隊優化功能、支援行銷團隊制定精準策略。 整合生成式 AI 應用: 導入並開發生成式 AI 功能，例如自動化產出運動新聞與球員動態，豐富產品內容。 提升內部數據工作流程效率: 運用 AI 技術優化資料處理、分析與建模的流程，提升團隊整體開發效率。

客戶專案支援 Duties: This role will work closely with the team to handle inbound requests and expand our existing analytics system. A vast majority of the deliverables will be written in SQL. Responsibilities: •Handle triaged inbound requests; occasionally requires work directly with the stakeholders •Deliver one-off answers to critical analytics questions within the Hearables program, create ad-hoc scripts and gather the results for sharing •Maintain and develop our extensive analytics pipelines and dashboards

我們正在尋找一位對AI / Data 產品有興趣的 Business Assistant，協助團隊推動 AI / Data 專案。 您將負責需求對接、需求整理與功能驗證，並與產品、工程與資料團隊合作 讓 AI / Data 產品順利落地。如果您對AI、資料應用與產品開發流程有興趣，這會是一個很好的起點。

Introduction to the jobCollaborates throughout a defined stakeholder network (usually within same department and covering lower Tier levels such as operational teams, project leads and subject matter experts) to execute business engineering processes and analyze data to identify process improvements. Coordinates the consolidation of data sources/input critical to report creation or management reviews.Focuses on assignments; gets clearly defined tasks from own manager, stakeholders or a senior business engineer in the implementation of business engineering processes, improvement projects or analytics reports. Works under supervision.Managing the health and operational excellence of GOC's dashboards. Handling all the data execution in the background via collaboration with central teams.Role and responsibilitiesResource ManagementSupports calculations related to well-defined quantitative models and trend analysis. Collects and validates information from several input sources (E.g. FTE data, labor hours, Cycle time).Supports the preparation and execution of resource management reviews (e.g. blueprint revisions, norms reviews, Total Annual Plan)Performance ManagementSupports the preparation and execution of performance reviews, ensuring all information is consolidated and available on time. (Example: GOC OST ticket performance.)Supports analysis and calculations of performance metrics using multiple sources and datasets.Business Intelligence Analytics ReportingCreates and visualizes performance/trending/gap analysis/ad hoc reports.Can support stakeholders requests with dashboards/business intelligence solutions (e.g. Excel, Power BI, Spotfire)Process improvements / optimizationAnalyzes data related to performance indicators, identifies trends and bottle necks, and provides insights into opportunities for improvement. Validates data quality with support of experts closer to the processes/sources (e.g. SAP)Process Knowledge ManagementSupports process specialists and experts in documenting and maintaining standards connected to Business Engineering processes (e.g. norms, L5)Creates and maintains work instructions for own scope, and ensures they are available in standard document management tools (e.g. Sharepoint, ARIS).Project Benefits ManagementParticipates in the implementation of improvements by providing analytical support. Works under guidance of project lead. Has limited experience with project management methodologies (E.g. ASML PM Method, SCRUM/Agile, PMI, DMAIC etc.)Supports business case calculations to translate specific metrics into project benefits. Keeps monitoring them throughout time.Continuous Improvement: Lean/Six SigmaSupports lean experts and other stakeholders in combining data analytics with CI tools (E.g. VSM, Daily Management, Hoshin Kanri , Problem Solving tools A3/4C). Has basic knowledge of the fundamental concepts of Lean and Six Sigma (white belt or yellow belt level). Supports problem-solving teams in reviewing and validating process improvements.Business Acumen Business PartneringHas basic understanding of the strategy and priorities of own department. Is aware of all business engineering processes within scope. Has limited practical experience with processes, KPIs, tools and systems within own department and other allocated departments.Communication Stakeholder ManagementKeeps own stakeholders up to date regarding requests and progress.Is aware of different communication channels (e.g. meetings, trainings, workshops, presentations).Contributes and supports in setting up workshops and trainings.Prepares input for presentations at senior levels.Education and experienceUniversity degree in Information technology, Engineering, Industrial Engineering, Operations, Supply Chain Management or Business Administration. Bachelor degree with no/limited experience.Has professional knowledge of theory and practices of operations, data analytics, business management. Able to master coding well.SkillsTechnical Analytical SkillsData Analysis FundamentalsAbility to analyze datasets, identify patterns, and derive insightsUnderstanding of descriptive statistics (mean, median, variance, correlations)SQL (Structured Query Language)Writing basic to intermediate queriesFiltering, joining, grouping, aggregating dataFamiliarity with relational databases (e.g., MySQL, SQL Server, PostgreSQL)SpreadsheetsStrong ExcelFunctions like VLOOKUP/XLOOKUP, INDEX/MATCH, pivot tables, chartsBasic data cleaning and formattingData Visualization ToolsExperience with BI tools such as:Microsoft Power BITableauAbility to build dashboards and simple reportsProgrammingBasic knowledge of Python or R for data analysisFamiliarity with libraries like Pandas, NumPy, Matplotlib (if using Python)Data Cleaning PreparationUnderstanding how to handle missing values, duplicates, and inconsistent dataBasic knowledge of ETL concepts is a plusIT-Related SkillsUnderstanding of Databases Data StructuresDifferences between relational and non-relational databaseFamiliarity with Cloud or Enterprise Tools (Bonus)Enterprise data platforms or warehousing toolsBasic IT Troubleshooting MindsetUnderstanding how systems connectAbility to investigate issues logicallySoft SkillsCommunication SkillsExplaining data insights in a simple, non-technical wayWriting clear documentation and summariesProblem-SolvingBreaking down business questions into data tasksLogical, systematic thinkingAttention to DetailSpotting inconsistenciesEnsuring data accuracy in reportsTeam CollaborationWorking with cross-functional teams (IT, finance, operations)Willingness to learn from senior analystsOther informationKnowledge of APIs and basic data integrationUnderstanding of basic machine-learning conceptsFamiliarity with ticketing tools (Jira, ServiceNow)This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

我們在尋找熱愛創新、善於解決問題的你！隨著AI的發展，軟體開發的領域也進一步深化，身為友達的全端工程師，你將負責雲開發與數據工程開發，並導入AI工具，增進團隊開發的效率與深度。友達光電誠摯邀請您加入我們，與我們共創未來！【工作內容】1. 負責AWS/Azure全端開發與維護 (側重後端)。2. 實作後端 API 與 Databricks 數據平台之整合與介接。3. 協助數據工程開發，包含編寫 PySpark 處理流程。4. 導入與優化 AI 開發工具，提升團隊開發效率。

ĐỂ XEM ĐẦY ĐỦ THÔNG TIN TUYỂN DỤNG, VUI LÒNG CLICK "ỨNG TUYỂN"/"APPLY NOW" ĐIỀU KIỆN ỨNG TUYỂNCollect, process, and manage relevant datasets; build operational dashboards and trackers for different teams to ensure timely and accurate reporting;Conduct basic analyses to monitor product, content, and feature performance;Prepare periodic reports (daily/weekly/monthly) to support the Partnership Growth, Content, and Marketing teams;Support A/B testing analysis for product experiments;Collaborate with Data Analysts and Product Managers to understand analytical requirements and generate actionable insights;Perform other data-related tasks as assigned.

Join Our Fast-Growing APAC Team! Are you a data-driven problem solver with strong Python and SQL skills? Do you have a keen eye for detail and a passion for optimizing financial processes through data analysis? If so, we want to hear from you! In this role, you will play a key part in delivering high-quality customer data analysis and quality assurance to support our internal financial control function. You will also help the Revenue Operations team uncover valuable customer insights through data analysis on our existing inline services. As inline continues its rapid expansion across APAC, we are looking for highly detail-oriented individuals with strong analytical capabilities to derive insights from diverse data sources. Fluency in English is a plus, as this role involves communication with global partners. We value proactive problem-solvers who take ownership of their work, manage their time efficiently, and continuously seek to improve workflows and documentation. If you're passionate about financial data analytics and eager to drive meaningful impact, this role is for you!What You Will Do Data Analysis & Optimization Python & SQL are essential – use them to automate, analyze, and optimize financial data.Enhance and optimize the billing system using Google Apps Script (GAS) to enable automation.Analyze customer payment behaviors and propose data-driven solutions to improve collection efficiency.Monitor and analyze monthly revenue performance to ensure accuracy and financial health.Maintain clean, structured, and well-documented financial data dashboards for better decision-making. Billing & Accounts Management Set up, manage, and optimize billing systems to improve efficiency.Support customer billing inquiries, ensuring clarity and resolution.Enhance the customer payment experience, making transactions seamless.Maintain accurate financial records and ensure proper cash flow tracking.Conduct regular follow-ups with domestic and international clients via calls, emails, and meetings.Standardize billing processes and ensure invoice accuracy. Process Management & Documentation Accurately track internal and external requests, process information quickly, and resolve issues.Develop and maintain clear, well-structured documentation to improve operational efficiency.Implement and maintain daily, weekly, and monthly productivity and quality metrics based on department needs.

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ Job Description 1. Analyze market sales data and seasonality to discover potential products. 2. Assist senior business managers in developing purchasing strategies to maintain inventory levels. 3. Track the sales performance of products. 4. Calculate the potential profits of products to provide the best purchase advice. 5. Maintain product profit margins through pricing strategies. 6. Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation 7. Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Requirements Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Strong problem-solving skills

【工作內容】 使用 TypeScript 和 Node.js 開發高效穩定的後端服務。 設計並實現 API，並與前端工程師協作，確保系統功能的無縫對接。 負責 MongoDB 資料庫的設計與優化，並使用 Mongoose 進行資料存取與管理。 撰寫可維護且高效的程式碼，並參與代碼審查與優化過程。 解決系統瓶頸，優化服務效能，確保高可用性與高擴展性。 【Job Description 】 Develop efficient and robust backend services using TypeScript and Node.js. Design and implement APIs, collaborating with frontend engineers to ensure seamless system functionality. Manage and optimize MongoDB databases, utilizing Mongoose for data access and management. Write maintainable and efficient code, participating in code reviews and optimization. Address system bottlenecks, enhance service performance, and ensure high availability and scalability.