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1.進行客戶專案的建置，教育訓練、報表系統開發、RPA 流程導入、系統整合等等。 2.協助業務進行客戶端的簡報與POC驗證。 3.不斷投入時間學習、累積在資料分析與流程整合的各類軟體解決方

Responsibilities Develops and maintains applications and databases by evaluating client needs; analyzing requirements; developing software systems. Develop coding to automate data query from database and store into tableau clouds. Maintain coding to automate system flagging based on user needs and requirement. Arrange project requirements in programming sequence by analyzing requirements; preparing a work flow chart and diagram using knowledge of computer capabilities, subject matter, programmin

本職缺只接受國泰人壽徵才網站的履歷表，請立即至以下網址登錄您的資料：『 https://bit.ly/34zjoPU 』 ===================================================================== 各路充滿策略思維、影響力、有具體執行/落地經驗的夥伴一起加入！ 【主要職務】 綜觀中長期策略藍

About the Role Roku is looking for a Business Intelligence Engineer (BIE) to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analysts, data engineers, and business stakeholders to understand business questions, write robust pipelines to create analytical data assets, and use visualization to create informative reports and dashboards that allow stakeholders

◆THE ROLE & THE TEAM As a Data Engineer in JKOPay, you will be responsible for processing JKOPay’s online transaction data and offline data analysis with your experience in data engineering. JKOPay serves +5 million users in Taiwan, as well as partners and stakeholders that integrate with our payment service, which handles 3-billion transaction amounts every month. With the rapid growth of JKOPay’s business, Data Engineer is the key to designing systems for collecting, storing

Who we are: 簡介 優投房是技術驅動與數據驅動的房地產資訊平台．提供房產投資者與房產專業人士完整的房源資訊，分析，與房產大數據．透過大數據的技術整合房地產資訊，並應運先進的統計與演

工作內容： 1. 建構各部門預算規劃、成效追蹤及成本分析系統（制定年度、季度財務計畫，包括公司現金流預算） 2. 負責收入、成本、費用的審核及監督，及時核對應收應付款項及往來帳 3. 負責線

台灣大車隊不是傳統的計程車產業，我們不斷創新，致力讓數百萬會員與 21,000 名司機擁有更好的生活品質。面對世界級的競爭，需要優秀的你加入，用數據與科技為力量，讓台灣更進步。 【工作內容】 1

1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, customize dashboards, and provide analytical insights for customers. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data Science Team. 4. Carry out research on cutting-edge data

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -