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點進行消費者洞察分享，旨在提供美妝業界趨勢分析洞察。本職缺內容如下： 【CMRI美妝行銷總研】商業數據分析師(BUSINESS ANALYST) 1. 透過@cosme站資料庫進行資料分析與消費者洞察。 2. 定期舉辦seminar，對外分享

*** If you're interested in this position, please email your English resume to HR Janet. ([email protected]) *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their

【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

About us Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields. A founding member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number

Analytics Engineer 將與產品或行銷相關的資料分析師以及工程師進行合作，透過數據來探索問題、規劃後續的 Data Pipeline 實作，最後和資料工程師一起協作提供 end-to-end 的 data solution，以擴展公司各部門的數據分析能力，並

【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

數據知能應用於公益服務的影響是什麼呢? 提升服務管理的量能，給予準確有力的數據支持，甚至協助營運規劃創新的策略！ 期待與你一起關注聽損議題、以「數據力」與「洞察力」為公益賦能，發揮改變

料品質管理和資料治理工作，監控資料品質和完整性，確保資料的準確性和可信度 7、追蹤和評估數據分析技術的發展趨勢，不斷學習和更新數分工具和技術，提高團隊的數據分析能力和水平 8

●負責數據&AI分析平台設計規劃/開發建置 ●負責數據流程(pipeline)開發設計。 ●負責數據分析支援協作 ●具備實驗設計能力推動Data Driven Decision文化

Manage the process for collecting, analyzing, and interpreting people data and turn data into insights. Conduct reports with specific analytic initiatives to articulate internal people questions and support HR strategy, operations, and projects. As a partner to empower BPs to analyze and interpret people data independently. Continuously search for new data sources relevant to advanced analytics models of the people in TSMC for business purposes. Continuously improve the efficiency and effectiven