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為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。4.生日小驚喜，公司記得你的每個重要時刻。5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！ Key Responsibilities for Data Analyst: Responsible for gathering data from various sources, including internal databases, user interactions third-party APIs, ensuring data accuracy and integrity.Perform exploratory and statistical analysis to identify trends, patterns, and correlations in large datasets.Create clear, compelling reports and dashboards to communicate insights of the product to stakeholders.Work closely with product and engineering teams to define key performance indicators (KPIs) and track product performance.Provide recommendations to improve software features, user engagement, and operational efficiency based on data findings.Implement processes to ensure data quality, consistency, and security, adhering to company policies and regulations.Conduct custom analyses to support strategic initiatives or respond to business questions.

【Job Summary】 This is an exciting opportunity at a Global Unified Commerce enabler providing SaaS solutions. As a Data Analyst, you will be responsible for deep-diving into data and providing actionable insights to facilitate better strategic decision-making. 【What you will be doing】 Deliver Insights: Provide data-driven insights to internal commercial teams, addressing a wide range of business questions and needs.Business Logic Metrics: Develop a comprehensive understanding of the business to drive the analysis of operating and tracking metricsDashboard Development: Build metrics dashboards to track and monitor platform performance and progress.Reporting: Create analytical reports to provide deep dives into key topics, enabling better decision-making to solve business problems.Proactive Exploration: Proactively explore complex datasets to uncover valuable insights and identify potential issues.Data Culture: Promote and foster a data-driven mindset within the company. 【 Who we are looking for 】 Proven Experience: Demonstrated experience in conducting data analysis and utilizing analytic/visualization tools to drive decision-making.Technical Skills: Advanced SQL skills are a must; proficiency in Python or R (Web Scraping, ML, NLP) is a plus.BI Tools: Experience with Business Intelligence tools such as Looker, Tableau, or Power BI is a plus.Communication: Strong communication skills with the ability to transform numbers into compelling stories.Independence: Ability to work independently in a fast-paced environment with minimal guidance.

在數據應用專案中執行並引導成員完成產品的規劃、安裝建置並促進專案團隊協作協助客戶排查產品問題及提供顧問服務執行並引導成員進行數據科技產品之PoC及技術可行性驗證。

在數據應用專案中執行產品的規劃、安裝建置並促進專案團隊協作協助客戶排查產品問題及提供顧問服務執行數據科技產品之PoC及技術可行性驗證

【 What You'll be Doing 】- Pipeline Implementation: Develop, maintain, and optimize robust ETL and real-time data pipelines to ensure high-quality data collection, processing, and storage.- System Monitoring: Actively monitor data pipeline health and troubleshoot data quality or performance issues to ensure high availability.- Database Management: Assist in designing data schemas and implementing database indexing or partitioning strategies for performance optimization.- API Tooling: Build and support backend APIs and internal data tools to empower SHOPLINE merchants with actionable insights through visualization platforms.- Collaboration: Work closely with Senior Engineers and Product Managers to translate business requirements into technical data solutions.

【職責範圍】 參與產品策略與探索：與 Founder 或 客戶團隊密切合作，從 Data Munger 的商業目標與客戶真實痛點出發，參與定義產品功能、使用場景與發展路線。負責全流程的產品設計：主導從前期需求探索、使用者研究、流程規劃到最終高擬真介面與互動原型的完整設計流程。設計產品體驗架構：負責資訊架構 、使用者流程 (User Flow) 與核心互動模式的設計，確保複雜的 AI 工作流程對使用者而言清晰易懂。推動反饋與數據驅動的迭代：不僅是把設計交付出去，更要追蹤產品上線後的使用狀況，透過用戶訪談、業務端回饋或數據分析，提出優化方案並推動產品快速迭代。跨部門協作與產品對焦：與工程、業務及 產品團隊緊密協作，確保設計方案在技術可行性、商業價值與使用者體驗之間取得最佳平衡，並參與產品最終驗收。

Draft and execute all aspects of marketing programs for assigned products to support the annual operation plan be carried out successfully.Key Responsibilities and Performance Objectives⚫Draft and implement the assigned marketing programs including product portfolio management, new product launch, product registration, product communication, promotional activities, etc..⚫Coordinate with internal external parties to ensure a smooth and successful execution of assigned marketing program.⚫Collect and analyze market and consumer information in the field including market development, competition movements, and consumer insight to have quality data that enables to develop strategy and plan.⚫Handle distributors and consumers’ queries for the assigned products to ensure the questions or problems are dealt with in a responsible manner.⚫Communicate and follow up on the product quality/service issues with related internal/external parties.⚫歡迎身心障礙者

【職責範圍 Responsibilities】 主導產品視覺與互動設計：負責 Data Munger 核心產品及客製化 AI 工作流介面 (Web / Mobile / App) 的 UI/UX 設計，將創新功能轉化為直覺的操作體驗。建立可擴展的設計系統：設計並維護 UI 元件庫 (Design System)，支援跨專案的響應式設計，提升團隊整體的開發與設計效率。產出高品質設計交付物：製作使用者流程圖、線框圖、互動原型與最終的 UI 視覺稿，並產出清晰的設計規範供工程團隊實作。以使用者為中心的設計：進行使用者研究或需求釐清，提出有邏輯與數據支持的設計解決方案。跨部門協作與 UI/UX 驗收：與 PM 及工程團隊密切協作，驗收產品設計，確保實際上線版本的美觀及品質。

【職責範圍 Responsibilities】 打造企業級 AI 產品與客製化工作流：主要使用 React.js (搭配 TypeScript) 進行網頁前端開發，打造 Data Munger 核心平台與客製化的 AI 應用介面（包含：複雜數據儀表板、人機協作審核 HITL 介面等）。搭建與維護 Component Library：與 Product Designer 緊密合作，將 Design System 落地，建立並維護高重用性、易擴展的前端元件庫。複雜數據整合與渲染：與後端團隊密切協作，串接 RESTful API / GraphQL，流暢地處理並呈現龐雜的企業數據與 AI 生成結果。系統優化與維護：持續進行前端效能優化、重構與 Bug 修復，確保極致的 Web 體驗。發揮技術影響力：我們期待你不只是接收規格，更能主動提出產品體驗的優化方向、參與技術選型，並帶動團隊的工程實踐。

本職位隸屬於研發中心基礎建設團隊，旨在透過長期的技術與數據賦能至業務產品。我們正在尋找具備「平台思維」的產品經理，以全局視野、產品長期發展的角度，為產品基礎服務訂定策略，為街口用戶帶來更好的產品體驗。 【工作內容】(徵求至少具備其中兩項核心領域) 數據運用與產品化：規劃並設計跨部門通用的數據平台或工具，降低各部門獲取與分析數據的門檻。定義數據蒐集規範與品質監控機制，確保研發團隊產出的數據具備高度可用性與一致性。AI 賦能與流程自動化：識別公司營運流程中的低效環節，評估並導入 AI 解決方案。與技術團隊協作，提供在各業務產品所需的 AI 基礎服務。 跨平台基礎建設 (App/Web/Backend)： 針對使用者前端 iOS、Android、Web 及後台系統，規劃通用的技術服務與組件。思考「服務化」架構，將重複性的業務需求抽象化為基礎服務，供各研發團隊快速調用。 技術與業務的橋樑： 參與技術架構評估，與 RD 共同討論技術選型對產品團隊發展的長期影響，確保架構設計具備擴展性，符合業務需求。