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【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。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ 一、採購策略與商品管理 (約 70%)1. 分析市場銷售數據與季節性，發掘潛力商品並擬定相應的採購策略。2. 協助業務經理制定採購計畫，以維持合理的庫存水位。3. 持續追蹤商品銷售表現，計算潛在利潤並提供最佳採購建議。4. 透過價格策略維持並優化商品毛利率。5. 建立與分析銷售報表，辨識衰退品項並挖掘新的成長機會。二、流程優化與專案管理 (約 30%)1. 與跨部門合作，透過數據分析與自動化設計具擴展性與高效率的流程解決方案。2. 運用數據分析工具（Excel、SQL、Python、R 等）找出問題根因並驗證改善方案。3. 能獨立規劃並執行專案，於時程內交付具質量與影響力的成果。4. 善用內部系統工具，提出可行的流程優化建議並推動落地。任職條件1. 具 1–2 年以上相關工作經驗尤佳。2. 熟悉 Excel 基礎公式與功能（如：sum, count, xlookup, pivot, chart, VBA），具良好的數字敏感度；若具備 SQL 語法能力（如：JOIN, 欄位值轉換, 套件應用）及視覺呈現軟體（如：Looker, Tableau, PowerBI）則更佳。3. 具備獨立專案執行能力，能準時完成並交付成果。4. 擅長跨部門協調整合，並具備良好的數據分析與洞察能力。

📊 資料整不整，AI 看得見。你就是資料流的導演。 我們正在找對資料超敏銳，看到流程就想優化、看到重複就想自動化的資料工程手。你的任務，是幫企業把資料搞定，讓 AI 能順利落地。 💡 你會做什麼： 跟企業一起盤點資料來源、結構與使用情境 設計資料流通流程，讓系統之間順順連接 串接 LLM、API、CRM、表單、文件庫等資料來源 撰寫資料清理邏輯，確保格式統一又正確 把非結構化資料（文字、問卷）變成能分析的樣子 跟技術團隊＆企業端當資料橋樑 建立資料 SOP、教育客戶如何維運 定期追蹤資料流狀況、提供優化建議 🔧 你可能會用到的技能： 熟 ETL、資料整合工具（Make、Zapier、Python、GAS） 資料轉檔、清理、轉格式的功夫熟門熟路 處理格式：CSV、JSON、Google Sheet、API 回傳資料都沒問題 有做過資料整合、報表自動化、文件結構優化導入經驗 熟企業常用工具（Notion、Slack、Airtable、Google Workspace、CRM/ERP） 🌈 我們喜歡這樣的你： 流程控！看到混亂就想整理，看重複就想自動化 擅長翻譯資料需求 → 技術方案 → 實際上線 async 沟通一把罩，Notion + Slack 順順用 能獨立規劃資料流程、掌控進度與品質 快節奏 OK，彈性合作也 OK，有模組化工作思維 🎯 讓資料跑順、AI 才跑得動。你就是企業智慧化的關鍵角色！ 💡時薪範圍：500元/小時起，有能力爭取，還可以更高 💡工作地點：主要為遠端辦公，實際配合方式會與企業達成共識，彈性十足！快組隊平台連結企業與自由接案者，讓你自由選擇適合的案件，不僅能拓展你的技能，還能輕鬆掌控工作時間！現在就加入我們，解鎖更靈活、更高效的工作模式吧！

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.

建構與優化機器學習模型: 運用多維度運動數據（如賽事數據、球員表現），開發球員薪資計算、表現預測等核心模型，並持續進行優化。 支援產品與行銷決策: 深入分析用戶行為與市場趨勢，提供數據洞察，協助產品團隊優化功能、支援行銷團隊制定精準策略。 整合生成式 AI 應用: 導入並開發生成式 AI 功能，例如自動化產出運動新聞與球員動態，豐富產品內容。 提升內部數據工作流程效率: 運用 AI 技術優化資料處理、分析與建模的流程，提升團隊整體開發效率。

At SWAG Live's data team, our mission is to democratize data by building a self-service data platform. We aim to empower internal teams to access, interpret, and derive valuable insights from data effectively.As a Data Scientist in this role, you will collaborate with a multidisciplinary team of engineers and analysts to tackle diverse challenges using quantitative techniques such as statistical analysis and machine learning. You will work with large, complex event-based datasets, conduct exploratory data analysis (EDA), define requirements, and develop deploy models. We are particularly seeking a data scientist with experience in building customized recommendation models and a strong interest in product-focused machine learning development. Responsibilities Leverage state-of-the-art algorithms to build fully customized recommenders and other growth models.Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training tuning and engineering toolchains.Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.Understand stakeholder business requirements and design end-to-end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.Collaborate closely with data engineers and backend engineers to develop scalable systems.Communicate efficiently with cross-functional teams, promote the implementation of strategic applications, and drive continuous optimization.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data that seek to predict the movement of financial market Transfer data into internal infrastructure applying variety of algorithmic techniques What You’ll Bring: Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas Good academic record Familiar with modeling, data structures, algorithms and optimizations Strong knowledge of machine/deep learning algorithms Proficient in programming languages of both C++ and Python Possess good communication and presentation skills in English Ability to work independently and as member of a team Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart a self-starter Detail oriented and capable of multitasking and delivering in fast-paced work environment As a plus: While not mandatory, a strong interest in financial markets will definitely be beneficial Participant of ACM-ICPC By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

・負責收集、清理、管理平台內外部數據，確保資料完整與正確，打造可供分析使用的數據集・監控數據質量與資料庫模型，持續優化數據處理流程・分析用戶行為（活躍、留存、付費）、市場活動成效及用戶來源渠道・應用統計、ML/DL 和生成式 AI 技術來建立使用者分類、詐欺偵測、情緒分析和其他目標的功能・以數據支持產品優化，協助設計及分析A/B測試・與其他產品開發團隊合作，了解他們的業務需求，如潛在用戶名單、用戶風險分析，制定並完成端到端分析，包括資料收集、分析、持續擴展交付和演示・使用Tableau/Power BI設計並維護BI報表，推動數據自助化・結合業界Knowhow與指標洞察，提出實際可行的解決方案

About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.About the Role:We are seeking a dynamic and strategic Data Product Manager to bridge the gap between product innovation and data-driven insights. This role is responsible for defining and executing a data strategy that enhances our product offerings, optimizes decision-making, and drives business growth. You will work closely with cross-functional teams—including product, engineering, data science, and analytics—to ensure that data is at the heart of our product strategy and execution.Responsibilities:Understand product values and feature details to translate them into precise data requirements.Prioritize the product-related data requests backlog to align with product strategic objectives.Address gaps in our data ecosystem by defining tracking specifications and ensuring successful implementation and launch.Comprehend the meaning of data and clearly explain its context and significance to the data team for effective analysis.Initiate data insight projects with the data team for internal sharing and continuous product improvement.Qualifications:3+ years of experiencein data, analytics, or a related roleExperience definingdata tracking / event specsand coordinating with engineering or data teamsComfortable definingdata requirements, and able to structure dashboards and metrics based on product or business needsFamiliar withtrading products and workflows(e.g. stocks, futures, or crypto), with enough hands-on exposure to understand user behavior and data needsAble tocommunicate clearlywith product, engineering, and data teamsBonus Points:Experience in the blockchain or financial technology industry.Background in data analysis or data science.Perks Benefits:Competitive salary and benefits package.Opportunity to work in a fast-paced and innovative environment.Be part of a growing and dynamic team.Make a real impact on the company's success.Various team building programs and company events.Comprehensive healthcare schemes for employees and dependants.And many more! Apply and let us tell you more!#LI-JY1

職務內容（Responsibilities） 分析行銷與銷售數據，包含廣告成效、會員行為、轉換率、回購率等 對虛擬客服對話資料做文字／語意分析，提取客戶問題類型、反饋趨勢與滿意度指標 分析實體商店的人流量變化與顧客行為（進店／停留時間／熱點區／動線分析） 建立與維護 Dashboard，以視覺化方式呈現 KPI、行銷 ROI、客戶分類等指標 與行銷／業務／操作團隊合作，提出優化建議並參與 A/B 測試或活動效果評估 （加分）串接 CRM 或客戶資料庫以做個人化推播或忠誠顧客辨識 條件要求（Requirements） 擅長使用 Excel / SQL / Python 或 R 分析工具 熟悉資料視覺化工具，如 Tableau、Power BI 或類似儀表板工具 有行銷或業務數據分析經驗者佳，尤其有做過客戶對話分析或實體人流分析者更佳 能撰寫簡報給管理層／非技術人員，清晰傳達分析結果與建議 工作態度主動，對數據敏感，有邏輯思考能力 待遇與條件 全職／兼職／實習皆可（視需求） 薪資範圍根據經驗與能力而定 工作地點：可遠端 / 台北市 /與公司協商 加分條件：熟悉 NLP /語意分析、熟悉客流偵測技術、有人流計算或熱點分析經驗

Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa.Minimum qualifications: Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment. Experience with diagnosing and troubleshooting operating systems, computer hardware and server hardware. Experience with networking protocols. Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting. Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Preferred qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in maintenance and monitoring of server systems. Experience with performing component-level repairs and troubleshooting on IT equipment or in a related role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc). Experience working within a data center or network operation center environment. Experience with Linux operating systems. Experience in project management and leadership, and collaborating and partnering with teams. About the jobGoogle isn't just a software company. The Hardware Operations team is responsible for monitoring the physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Deploy and operate new data center infrastructure across teams. Report issues and follow data center procedures to troubleshoot and diagnose somewhat issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues. Maintain the security and integrity of data, track various forms of media to check for non-standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards. Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, within one or more teams. Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with multiple solutions, separately. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.