轉職熱搜工作

1.定義數據分析流程、提出洞見及優化建議，製作簡報並進行報告。 2.分析用戶輪廓，以理解用戶需求與行為。 3.分析市場需求，提供產品開發部門建議。 4.使用網路行銷工具並導入新技術。 5.網站使用者行為追蹤(GA/Matomo)與分析，並進行A/B testing。

職務內容： 1. 自動化系統建置與推廣(包含RMS、RTM及SPC系統)。 2. 分析製程常規問題。 3. 資訊整合與應用、相關設備參數分析及演算。 ––––––––––––- ※ 生日禮金、員工旅遊、四節禮金、各項工會與福委會補助 ※ 到職即依比例給予特休（優於勞基法給假制度） ※ 多項獎金制度（每月生產獎金、年終獎金、年度績效獎金、提案改善獎金、模範員工獎勵、員工推薦獎金） ※ 新人輔導制度(PTA)、家庭日、各項健康促進活動、員工健康檢查、廠內護理師/醫師諮詢服務 ––––––––––––––––- ● 本廠備有交通車、單人宿舍、租屋補助($2000/月)，提供戶籍所在地距本廠30公里以上人員依規定申請。 ● 到職即依比例給予特休（優於勞基法給假制度）

1.情報系統機能維護 2.情報系系統相關專案的執行(需求蒐集整理規劃、對廠商說明需求與 時程管理、驗收測試、導入程序) 3.Tableau工具推廣

協助客戶對數據系統進行技術評估，並設計數據驅動的企業路徑為宗旨。透過數據轉型創建技術、安全無虞的架構與設計藍圖，結合現代數據技術和雲端服務，展現數據價值。在這份工作你會接觸地端數據工程與雲端數據工程，著重於零售數據系統之穩定性。歡迎追求系統優化、效能精進有興趣之人才，與我們攜手打造貼近客戶運用之數據服務。 【工作內容】 1. 熟悉資料倉儲與數據湖概念，進行數據清洗、資料整備等相關數據轉換與整合。 2. 熟悉數據工程的ETL流程，處理數據開發、自動化、測試、監控、佈署等相關技術解決方案。 3. 維運和規劃大數據處理系統，以確保日常數據的運作品質之傳輸性、高效性和準確性。 4. 與infra團隊合作，檢視數據存儲和數據架構的設計和維護，以確保數據的安全性和可擴展性。 5. 與零售數據專家領域緊密合作，以確保數據分析的準確性和可靠度。 6. 數據系統囊括雲端與地端技術。 7. 其他主管交辦事項。 【經驗需求】 1. 具備兩年以上數據系統開發與維運管理經驗。 2. 具備兩年以上使用Python和數據庫管理（SQL和no-SQL）的經驗。 3. 具備大數據系統維運和機器學習工具（Scikit-learn、Pandas）的經驗。 4. 具備數據倉庫的設計和實踐經驗，如 SSIS、Analyzer、Redshift、BigQuery 等。 【技能需求】 1. 熟悉SQL/PostgreSQL/Stored Procedure使用與撰寫經驗。 2. 熟悉Python程式開發經驗。 3. 熟悉數據排程、處理、清洗、製作報表的實務經驗。 4. 熟習常用的 Open Source 工具實務經驗。 5. 擅長解決問題、除錯、故障排除，提出問題解決方案。 Assist clients in conducting technical assessments of data systems and design data-driven enterprise solutions. Create secure and modern architectures and design blueprints by leveraging data transformation and integrating modern data technologies and cloud services to unlock the value of data. In this role, you will work on both on-premises and cloud data engineering, with a focus on the stability of retail data systems. We welcome individuals who are passionate about system optimization and performance improvement, and who are interested in collaborating with us to build data services that align closely with customer needs. 【Job Description】This position is part of the Data Center Team. 1. Familiarity with data warehousing and data lake concepts for data cleaning, data preparation, and related data transformation and integration. 2. Familiarity with ETL (Extract, Transform, Load) processes in data engineering, covering data development, automation, testing, monitoring, deployment, and related technical solutions. 3. Maintenance and planning of big data processing systems to ensure the quality of daily data transmission, efficiency, and accuracy. 4. Collaboration with the infrastructure team to review data storage and data architecture design and maintenance to ensure data security and scalability. 5. Close collaboration with retail data experts to ensure the accuracy and reliability of data analysis. 6. Involvement in both on-premises and cloud technologies for data systems. 7. Other tasks assigned by the management. 【Experience】 1. Minimum of two years of experience in data system development and maintenance. 2. Minimum of two years of experience using Python and database management (SQL and NoSQL). 3. Experience in big data system maintenance and machine learning tools (Scikit-learn, Pandas). 4. Experience in data warehouse design and implementation, such as SSIS, Analyzer, Redshift, BigQuery, etc. 【Skills】 1. Proficiency in SQL/PostgreSQL/Stored Procedure usage and writing. 2. Proficiency in Python programming. 3. Practical experience in data scheduling, processing, cleaning, and report generation. 4. Proficiency in using common open-source tools with practical experience. 5. Strong problem-solving, debugging, and troubleshooting skills with the ability to propose solutions.

1.品牌官網營運企劃，不定期更新及成效追蹤管理。 2.品牌APP營運企劃，不定期更新及成效追蹤管理。 3.網路SP活動企劃，活動網頁提案與相關專案執行。 4.數位行銷產品企劃 5.GA成效追蹤管理及報表製作。 6. 網頁SEO優化 7.大數據經營分析管理

Drive the development and implementation of innovative AI solutions to revolutionize the retail industry. Collaborate with cross-functional teams to design, build, and deploy scalable AI models. Responsibilities include: o Conducting in-depth research to identify new AI applications for retail. o Developing end-to-end AI pipelines, from data ingestion, data analysis, data engineering, model development. o Optimizing AI models for performance and scalability. o Collaborating with business stakeholders to understand their needs and align AI solutions accordingly.

中租控股誠徵對於梳理金融產業商業邏輯，打造跨國企業等級資訊系統有熱誠的夥伴加入。 *** 【工作內容】 1.參與海內外消費金融系統開發專案，進行商業邏輯之業務需求訪談、分析，並設計流程、功能及撰寫業務規格書。 2.成為業管單位關鍵溝通橋梁，與資訊同仁共同商議並提出資訊解決方案。 3.進行使用者測試(UAT)，含測試案例設計、測試時程安排、測試進度追蹤。 4.系統操作教育訓練及教育手冊編訂。 5.負責專案整體進度及品質掌控、議題追蹤、跨部門協調。 *** 成為BA的未來發展與職能 1.培養企業總部經營視野，累積企業營運所需海內外系統建置經驗。 2.深耕大型系統專案管理，成為企業資訊資源應用的管理與執行者。 3.熟悉多元化的商業模式，協助企業拓展複雜商業場景的重要推手。

Job Summary: The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other R&D activities such as algorithm designs, prototype developments and experimental designs. Key Responsibilities: • Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights.

1. 與正職同仁一起將例行性流程透過RPA自動化 2. 協助各組推動資料治理工程，支持泛人資單位邁向數據驅動 3. 各項發展評測之統計分析 4. 其他主管交辦事項