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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。

❝ 跨領域/非相關科系(具相關經驗)➤ 等你來挑戰 ❞ ｜台灣半導體封測 前 ①⓪ 大廠｜ ⑴ 華泰 好 薪情 ☞ 年薪上看 16 個月 ⑵ 華泰 友 職涯 ☞ 專屬輔導員/HR服務窗口 ⑶ 華泰 善 生活 ☞ 福利平台10,000+ 家廠商任你逛 (視營運狀況調整，固定或變動薪資因個人資歷或績效而異) 1.負責業務相關數據之收集、清理與統計分析，透過資料探勘找出潛在問題，並進行數據分析與視覺化、產出關鍵績效指標 (KPI)報表。 2.主導或協助推動組織內部碳盤查作業，規劃減碳路徑和能源管理策略，確保符合國際標準與法令規範。 3.評估並導入數位工具，推動流程自動化。 4.協助各單位推動數位化轉型與綠色環保專案，並提供相關技術諮詢。 5.根據數據分析結果，向管理層提供具備事實根據的業務改善方案。 6.協助與第三方驗證機構溝通，處理碳管理相關證照與標準之年度稽核。 ※【核定薪資範圍】不含加班及各項津貼※ 【具備以下證照尤佳】 淨零碳規劃管理師-初級能力鑑定免費模擬試題檢測

❝ 跨領域/非相關科系(具相關經驗)➤ 等你來挑戰 ❞ ｜台灣半導體封測 前 ①⓪ 大廠｜ ⑴ 華泰 好 薪情 ☞ 年薪上看 16 個月 ⑵ 華泰 友 職涯 ☞ 專屬輔導員/HR服務窗口 ⑶ 華泰 善 生活 ☞ 福利平台10,000+ 家廠商任你逛 (視營運狀況調整，固定或變動薪資因個人資歷或績效而異) 【工作內容】 1.大數據分析(資料清洗、分析、AI相關演算法建立) 2.資料收集與整理(熟悉ETL、Python、C#開發) 3.SQL資料庫管理 4.SPC系統開發維運及修改

1. 洞察公司營銷/工廠運維的數據，並應用數據挖掘、機器/深度學習、最佳化等等技術，優化產品品質、提升生產效率減少資源的耗用、提升設備的妥善率，並找到問題的根因與最適的生產操控作業。2. 以智慧製造的策略發展，應用集團內各工廠的生產數據與領域專家合作，制定生產製造所產生的問題，處理相關數據以符合製程的運作，並應用相關的演算法，建立線上即時預測或分析模型，協助工廠解決生產問題的痛點。 3. 協助商業營運銷售活動的分析，開發應用相關演算法模型進行分析與預測，提升獲利與企業競爭力。4. 依照環境的現況，設計出最佳的解決方案，模型部署在（On-prem / Cloud / Edge），並做視覺化呈現或告警通知給予使用者最適的業務運作協助。管理線上模型的生命週期，研究與開發相關演算法，保持模型的預測的效用與運作效率。 5. 參與智慧工廠、數位分身（Digital Twin）等專案，持續追蹤並導入新興 AI 技術（如 Generative AI、多模態模型），提升系統效能與應用深度。 6. 撰寫技術文件與專案成果報告，協助跨部門溝通與知識傳承

【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

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally.In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices

Job Summary/Role:The Big data developer team works closely with the manufacturing functions in all relative data fields, such as, 1) connecting and automating the data pipeline from MFG file servers, API, RDB, etc., 2) building structurally data warehouse and data market for flexible application or dashboard, and 3) also handling data cleansing and data governance. In order to accelerate the development of application/analysis, Big data developer will be the individual contributor with strong experience in the technologies of Big Data, Data warehouse, SQL and NoSQL etc. Also Big data developer will also work closely with data analysts/data scientists to solve the real MFG cases.Responsibility:‧ Collaborate with users, data analysts, data scientists to develop flowcharts, layouts and documents to identify solutions.‧ Architect on real MFG needs and translate requirements into technical needs.‧ Identify and understand the data sources that are relevant for analysis, and implement efficient data engineering functions (including data ingestion, cleaning, ETL, integration, etc.)‧ Consolidate the requirements and using data engineering skills to design a robust Data Mart.‧ Participate in design, architecture review and deployment of Big data and data warehouse solutions.‧ Design for automation and monitoring mechanism in a continuous integration environment.‧ Bring new data technology with POC to solve existing data challenges.‧ With high performance and comprehensive SQL to process data in relational databases (or Map/Reduce style querying for NoSQL databases).‧ Work closely with user/IT/data science team to design and develop scalable data pipeline or end-to-end analytical workflow.‧ Provide direction, training, and guidance to less experienced team members.

團隊組成 :前身是提供企業內部資料分析顧問服務以及打造客製化資料系統服務團隊之資料工程部門，擁有多年經驗。目前積極規畫與開發自有的資料處理平台，支撐高自由度、高效能、可靠並可擴展之資料處理/分析流程，解決實務上欲打造一套資料系統的難題。工作內容 (Responsibilities):1. Software Engineering:‧ Produce specifications and determine operational feasibility‧ Write well-designed and testable code for building an efficient and stable system‧ Troubleshoot, debug, maintain, and upgrade existing systems2. Data Platform Development Data Engineering:‧ Module development and integration for building a modern data platform‧ Efficient data flow/pipeline module design and Implementation‧ Work closely with data science team to integrate ML/statistical models and analytical workflow

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Automation Systems Integration Engineer in TSMC's Intelligent Manufacturing Center (IMC) has four missions: To be familiar with TSMC's automation system architecture and software development lifecycle, define user requirements, and assist in providing integrated solutions to improve production line issues, such as process automation, enhancement of personnel/machine productivity, or optimization of quality monitoring.To be enthusiastic about learning new technological knowledge and willing to understand the details of semiconductor production processes, possess data analysis capabilities to thoroughly investigate problems, and guide users in proposing complete and rational end-user requirements.To have project tracking and management skills, proactively identify problems and actively seek resources for assistance, effectively intervene and manage conflicts when they arise, with frequent opportunities to present briefings for communication management.In the event of system anomalies in the responsible fab area, one must responsibly understand the extent of the anomaly's impact and report back to supervisors, and collaborate with the relevant system personnel to resolve the issue within a reasonable time frame to avoid significant production line losses. Responsibilities: Serve as a bridge between users and the system development team, assisting in finding system opportunity, defining requirements and continuously improving system experiences.Collaborate with users to define precise system requirement and solution to improve tool efficiency, people productivity and quality defense.Cooperate with cross-team members to manage project progress and be goal-oriented to deliver achievements.

1. Develop Cluster Deployment/Management/Monitor Modules2. Big Data Platform Operation (Hadoop, Spark, HBase, ...)3. Support Customer to Maintain Big Data Platform