轉職熱搜工作

• 負責軟體產品需求定義與交付，確保產品符合業務目標與使用者需求 • 作為業務單位與開發團隊之間的橋樑，將高層策略轉化為可執行的產品需求 • 參與產品開發全流程，確保需求清晰、進度穩定與交付品質 如果你熱衷於透過數據與邏輯驅動產品成功，並希望參與高互動、快速成長的產品開發環境，歡迎加入我們！ ––- 📌 主要職責 1.需求分析與管理 • 蒐集、分析並管理功能與非功能需求（訪談／工作坊／文件分析） • 撰寫並維護 User Stories、Use Cases 與需求文件 2.文件與流程建構 • 製作產品相關文件（流程圖、Wireframe、Data Flow Diagram 等） • 與 UX/UI 團隊協作，完善產品設計與使用流程 3.跨部門溝通與協作 • 與各業務單位協調需求與優先順序，確保專案方向一致 • 管理利害關係人期待，確保需求與開發目標對齊 4.敏捷開發支持 • 在 Agile／Scrum 流程下管理需求與 Product Backlog • 定義驗收標準，並於開發過程中持續釐清需求 5.分析與解決方案 • 進行可行性分析、差距分析與影響評估 • 提出符合商業需求與技術限制的最佳解決方案 6.測試與驗證 • 與 QA 團隊合作制定測試計畫與驗收標準 • 確保交付成果符合需求與品質要求 ––- 📌 職務需求 • 3 年以上 Business Analyst／System Analyst／Product Owner 經驗（軟體或 IT 領域） • 熟悉 Agile／Scrum 開發流程 • 熟悉工具：Jira、Confluence、ClickUp、Xmind 等 • 具備優秀的溝通與簡報能力，能跨技術與非技術團隊協作 • 具備問題分析能力，能拆解複雜需求並提出解決方案 • 相關科系學歷（商業管理、資訊、資工等）

KPMG 顧問服務部門的金融科技團隊，長期與金融業客戶合作，協助推動數位轉型與核心系統導入。我們的專案涵蓋金融風險管理、資產負債管理、財務分析等領域，並與國際解決方案供應商密切合作，實現技術落地與營運優化。 隨著金融業對數據分析與人工智慧應用的需求日益增加，我們正在尋找對金融科技有熱忱、具備系統導入經驗或潛力的夥伴，加入我們的團隊，協助客戶實現系統轉型與營運升級。 你將參與的工作內容包括： •協助銀行與金融機構導入大型系統（如市場風險管理、資產負債管理等）的導入與升級優化專案 •與國際軟體供應商（如 MSCI、Oracle）合作，導入業界最先進的技術與架構 •根據監理要求與營運需求，提供系統解決方案與資料應用建議 •協助導入資料分析模組，例如模型風險管理、預測分析等 •支援測試、教育訓練與系統上線後的維運工作 我們尋找： •對金融產業與科技應用有興趣，具備系統導入或IT專案實務經驗者尤佳 •具備良好的溝通能力與團隊合作精神，能在多方協作中推動專案進展 •資料處理與分析工具能力（如 SQL、Python、R） •對金融風險管理、監理趨勢有基本認識，並願意深入學習 •對於AI在金融業應用（如機器學習、智能分析）有興趣 •擁有統計、數學、金融等相關碩士學歷，或具備2–4年金融業系統導入／資料分析相關經驗 加入我們，你將有機會： •在實務中累積顧問經驗，了解金融業的實際需求與挑戰 •透過實務經驗快速成長，培養顧問應具備的專業能力與市場敏銳度 •發展多元職涯路徑，例如資料顧問、風控顧問或專案經理 •與跨領域團隊合作，拓展視野與專業深度

※工作內容： 1.醫療數據整理與分析: 負責大規模醫療資料之蒐集、清理、整併與品質檢核, 建置資料處理流程(ETL), 產出可用於研究分析之標準化資料集。 2.自動化解析與資訊抽取: 運用程式工具(如 Python)與 AI 技術, 針對非結構化病歷與報告進行資訊抽取, 並支援後續結構化產出。 3.標準化與流程管理: 建構資料標準化與結構化轉換流程, 設計穩定的批次處理流程, 確保資料可穩定輸出至資料庫或標準交換格式(如 CSV/JSON)。 ※應徵資格： 生物學系/生化科技/化學化工/病理藥理/物理學系/醫學科系/醫事檢驗/護理學系/公共衛生/統計學系/資訊工程/程式設計 等相關科系大學/碩士畢業。英文中等。 1.國內、外學士/碩士學歷畢業，具備良好中文及英文書寫能力。 2.具生醫、公衛、生科、藥學、護理或資訊等相關科系背景；非本科系但對生醫資料處理有興趣者亦歡迎。 3.態度主動積極負責，能團隊合作及樂於知識交流。 4.有學習熱忱，可因應不同挑戰持續自發學習，提升專業能力。 5.具備 Python 及 SQL 使用經驗。 6.熟悉 Linux 操作環境或有大數據處理經驗者佳。 7.具醫療資料或生醫研究相關經驗者 尤佳。 ※工作待遇： 其他––依中研院資訊人員薪資標準：學士級$42,775元起薪；碩士級$51,549元起薪(並依資歷調高敘薪標準；非資訊人員另有薪資標準。) ※應徵文件： 1. 自傳、中英文履歷表(含照片)、最高學歷證書影本。 2. 個人相關能力證照、中英文寫作能力證明文件。 3. 推薦人聯絡方式。 ※應徵備註： 1. 應徵者請將相關資料e-mail至聯絡人信箱，主旨請註明「應徵生醫數據分析師」。 2. 通過書面審查者，擇優面試 ; 資格不符或未獲錄用者，恕不通知及退件。

瑞昱半導體【科技專才創造力學程實習計劃】將提供本計劃實習生： 1. 科技專才培育：規劃實習同仁專屬五大面向課程，培養專業、開發思考與創造力。 2. 賦予研究專題與實質任務。 3. 科別專責輔導員：每位實習生設有專屬輔導者，協助專業學習及問題引導。 實習期間：於2026年7月至8月進行專案實習與活動安排。 實習時間：週一至週五8:30-17:30，週休二日。 實習地點：瑞昱新竹一廠、二/三廠及生醫廠。 招募對象： 大三(含)以上、碩士班或博士班之資工、資科等相關科系在學生，具下列任一條件者佳： a. 具備以下任一程式語言基礎 Python, HTML, CSS, PHP, Flask API, NLP, SQL, C# b. 對IC設計產業商業流程系統設計有興趣者 職務說明： a. 開發網路文件爬蟲程式、前後端網頁服務、生成式AI prompting engineering b. 使用RPA開發作業流程、供應鏈B2B系統建構

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=536&source=1111 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. Role: Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into technical needs, connect and automate data pipelines, and deliver data architecture and data governance solutions. Responsibility: 1. Perform IT system architecture design, new technology research, and provide recommendation. 2. Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.) 3. Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues 4. DataOps high availability NoSQL DB (e.g.: Cassandra, S3/MinIO, MariaDB, etc.) on K8s environment. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=19525&source=1111 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. TSMC is looking for a digital transformation engineer in logistics transportation field to work on optimizing cost-efficiency, smart operations and green transportation. As this role, you will not only re-engineer automatic operations through digital technologies, but also help us achieve supply chain excellence by continually improvement projects/tasks. Your main responsibilities include, but are not limited to: 1. Reinforce concrete domain knowledge through daily operation handling, such as shipment arrangement, payment operations, Customs clearance/audit/trade law compliance, logistics service provider KPI management. 2. Review existing processes and identify areas of improvement to achieve logistics model excellence. 3. Assist with the development of new fit-for-purpose digital solutions to improve operational efficiency and service level. 4. Champion the digital transformation tools and conduct training to relevant parties. 5. Develop global logistics network and local regulation compliance solutions. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

1.製程最佳化模型建立。 2.設備監控模型建立。 3.品質預測模型建立。 工作地點如下，可依居住地或意願分發！ 台北市內湖區（內湖大樓） 雲林縣麥寮鄉（麥寮廠區）

協助建置數位孿生模型，支援產線佈局與物流模擬；參與視覺監控技術的初步測試。配合智慧轉型專案進行數據採集，協助優化產線排程系統 。 Assist in building digital twin models and support layout/logistics simulation. Participate in visual monitoring technology testing. Support data collection for smart transformation and scheduling optimization.

1. 資料處理與清理(使用ETL工具)、進行資料驗證和品質檢查 2. 資料分析與視覺化、使用SQL查詢資料庫、製作圖表和儀表板(使用Power BI、Tableau或類似工具) 3. 產出定期報表和臨時分析報告 4. 與業務單位溝通,理解分析需求，將分析結果轉化為易懂的洞察 5. 參與團隊會議,分享分析發現 6. 記錄分析方法和流程 7. 建立和維護資料字典 8. 遵循資料治理和隱私規範 ※工作待遇：將依學經歷進行敘薪。