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【公司描述】 本公司為亞太地區領先的金融機構之一，積極拓展海外數位金融業務，致力於以數據驅動跨境消金服務創新。在快速變動的國際市場中，我們相信策略性的數據應用能為集團帶來可持續成長，誠摯邀請熟稔金融業與資料洞察的專業分析師加入團隊，為亞洲區域擘劃更具競爭力的產品與策略。Company IntroThe company is one of the leading financial institutions in the Asia-Pacific region, actively expanding their overseas digital finance operations. They are committed to driving innovation in cross-border consumer finance services through data-driven strategies. In the rapidly changing international market, they believe that strategic data utilization can bring sustainable growth to the group. They sincerely invite experienced analysts with deep knowledge in the financial industry and data insights to join their team and help shape more competitive products and strategies for the Asian market. 【職缺亮點】 ✅ 直屬總行策略單位，參與跨國發展藍圖與決策推進✅ 商業＋風險雙面向分析，洞察力驅動產品與營運創新✅ 與海外據點協作，深入新興市場（有機會出差東南亞）✅ 可見度高，直接對接決策層與跨部門關鍵專案 Job Highlights Direct access to group-level strategic planning: The analyst will work closely with senior stakeholders to support cross-border growth initiatives.Hybrid focus on business and risk: The position involves analyzing both market opportunities and potential exposures, driving innovation in both product and operations.Regional collaboration: The role requires close coordination with international branches and may involve short-term travel within Southeast Asia.High organizational visibility: The analyst will serve as a key advisor on cross-departmental initiatives and strategic projects. 【職位職責】 🔹 分析海外市場趨勢與競業資料，提出具策略意義的行銷與風控建議🔹 對海外個金業務進行客群分群、行為洞察與風險評估🔹 發掘數據價值並結合業務需求，設計可落地的資料應用方案🔹 主導專案計畫，管理資源、排程與成效追蹤🔹 跨部門協作，作為數據專業顧問，推動資料驅動的決策文化🔹 支援區域團隊需求，必要時進行東南亞市場短期出差 Job Description Analyze market trends and competitor data in overseas markets to generate actionable insights for marketing and risk control strategiesConduct customer segmentation, behavioral analysis, and credit risk evaluations for international consumer finance business linesTranslate business needs into data solutions, designing analytical frameworks that drive measurable impactLead and manage cross-functional data projects, ensuring clear timelines, resource alignment, and performance trackingAct as a subject matter expert in data analytics, working closely with product, marketing, and risk teams to promote data-informed decision-makingSupport regional business units with insights and short-term assignments in Southeast Asia as needed 【職位要求】 ✔ 至少 5 年以上資料分析或商業分析經驗，具金融、保險或新創電商背景尤佳✔ 熟悉資料分析工具（如 Python、SQL、SAS、R 之一或以上）✔ 具備金融行銷、風控或業務策略經驗尤佳✔ 能獨立撰寫分析報告、提案，並有效溝通分析價值與洞察✔ 邏輯清晰，具備策略性思維與跨文化溝通能力✔ 中英文流利，能撰寫英文分析報告並進行國際協作 Requirement Minimum of 5 years’ experience in data analysis, business analysis, or strategy roles; prior work in financial services, insurance, or digital platforms is highly desirableProficiency in Python, SQL, SAS, or RFamiliarity with financial marketing, risk control, or business strategy frameworksDemonstrated ability to produce clear, compelling analysis and communicate insights to both technical and business audiencesStrong strategic thinking, problem-solving skills, and ability to work across culturesFluency in English and Mandarin is required — including the ability to draft formal reports and collaborate with international teams ---------------------------------------------------------------------- 若您對此職位感興趣，請立即聯繫，讓我為您介紹更多詳細資訊！ ▶︎ 聯繫人：招募顧問 Owen Wu▶︎ LINE： https://line.me/ti/p/ICjS8Jx0Dq▶︎ LinkedIn： https://www.linkedin.com/in/owen-wu-1023a41a4/

【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！ Job Description 1. Analyze market sales data and seasonality to discover potential products. 2. Assist senior business managers in developing purchasing strategies to maintain inventory levels. 3. Track the sales performance of products. 4. Calculate the potential profits of products to provide the best purchase advice. 5. Maintain product profit margins through pricing strategies. 6. Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation 7. Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Requirements Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Strong problem-solving skills

About inline inline is a software startup focused on maximizing restaurant efficiency managing tables and reservations. We have thousands of restaurants including leading chain brands, Michelin-starred restaurants, shopping malls, and busy brick-and-mortar restaurants. We also partner with food-tech platforms, social apps, and various media services to grow the exposure and business for inline restaurant customers. Our team is launching and exploring more global opportunities in key cities, including Tokyo, Osaka, Hong Kong, Taiwan, Kuala Lumpur, Vancouver, Melbourne, Sydney and the cities in the US. For people with solid professional skills and talent, who are highly motivated to expand their career and learn in a fast, flexible environment, we have several opportunities to build the business with our team and write the legend inline for the next thousand partners at a rapid pace. We are seeking a Business Operations Intern to join our team and enhance the efficiency of our Customer Success Management Team, as well as strengthen our client relationships through various tools and solutions. As a Business Ops Intern, you will work cross-functionally with teams including Revenue, Customer Support, and Business Development, collaborating closely to drive value for both inline and its clients. If you're looking to start your career in Operations or Customer Success Management, this is the perfect opportunity for you to shine. What you'll do Daily Operations Organize and manage contract files for the CSM team, developing an automated archiving system to streamline file management.Record client information in internal forms, ensuring data consistency and accuracy across cross-functional documentation.Maintain and periodically update forms, regularly verifying the accuracy of all automated forms.Complete additional tasks as assigned by supervisors. Process Optimization and Automation Tool Development Optimize existing processes and design new workflows, setting clear priorities for improvements that will drive greater sales efficiency.Take responsibility for developing and managing automation tools, ensuring seamless and refined end-to-end processes.Data Analysis Utilize data analysis and client trend assessment to identify potential customer and sales opportunities, supporting data-driven decision-making.Develop client data reports that enable the CSM team to gain insights into customers' business performance, fostering stronger partnerships and collaboration.

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:5+ years of experience in product management, data analytics, or a related role with a proven track record of integrating data insights into product strategy.Strong analytical mindset with the ability to interpret complex data and translate it into actionable strategies.Ability to effectively communicate technical insights to non-technical stakeholders.Solid understanding of database structures and design principles.Excellent problem-solving skills with a keen attention to detail.Bonus 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

- Set up and execute extract, transformation, and load (ETL) functions to build a data pipeline.- Extraction and analysis of large data sets from MySQL.- Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized.- Delivering clear analysis and reporting of core business metrics to shareholders.- Creation and management of reports and dashboards.- Data management.- Enhance and optimize existing reporting processes.- Ad hoc analysis and reporting to clients and shareholders.- Aid in reconfiguring existing architecture and database structure to address our shareholder's evolving needs.- Daily maintenance and monitoring of all BI-related databases and dashboards, including proficient handling of emergencies.- Providing actionable insight to drive the growth of core products.Our Stack MySQL (Must)Python (Good to have)AirFlow (Good to have)AWS (Good to have)Metabase (Good to have)Redshift (Good to have)Linux (Good to have)

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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Industrial, Mechanical, or Electrical Engineering, or equivalent practical experience. 8 years of experience as a Manufacturing Engineer in an electromechanical environment. Experience in lean manufacturing principles, value stream mapping, and six Sigma methodologies. Ability to travel up to 30% to partner with regional suppliers and contract manufacturers. Preferred qualifications: Experience leading complex projects and mentoring junior engineers. Experience in the Data Center infrastructure space or Tier-1 high-volume production (e.g., Automotive). Understanding of industry standards and advanced engineering software for modeling and analysis. Knowledge of custom tooling design and validation for high-power electromechanical and thermal management (cooling) processes. Ability to influence supplier technical strategy, qualifications, and long-term relationships. Excellent statistical data analysis skills to measure performance, identify trends, and determine root causes of defects. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Lead the end-to-end strategy for high-volume process development, implementation, and optimization across mechanical, electrical, and networking components to ensure efficiency and quality. Serve as the Subject Matter Expert (SME) for Contract Manufacturer (CM) processes, lead supplier technical evaluations and direct the lifecycle management of complex Bills of Materials (BOMs) and Approved Manufacturer Lists (AMLs). Drive cross-functional technical alignment with Hardware Design, Operations, and Supply Chain teams, advocate Design for Manufacturing (DFM) principles to create scalable and cost-effective product designs. Establish and institutionalize robust quality processes by leading complex Root Cause Analysis (RCA) efforts and implement definitive corrective actions across the supply base. Own and direct critical, large-scope manufacturing projects from concept through Mass Production (MP), including capacity planning and validation of new high-volume equipment, processes, and facilities. 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.

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.

我們正在尋找一位具備 3-5 年經驗的資料工程師，加入我們的數據團隊。您將負責設計、構建並優化高效率的 Data Pipeline，確保資料從來源端到分析端的準確性與即時性。 此職位不僅需要強大的 Python 與 ETL 開發能力，更需要您對 資料來源標準（如 CKAN, SDMX）有深入理解，能夠以「分析師的視角」來設計資料架構，確保產出的數據能精準支持商業分析與決策。[職務內容] 1. Data Pipeline 開發與優化 (Core Engineering) 使用 Python 與 SQL 開發高效、可擴展的 ETL/ELT 流程。 運用 Apache Airflow 進行工作流排程、自動化管理與相依性設計。 針對不同資料來源（API, DB, Flat Files）進行研究與串接，如 WorldBank等開放資料或統計資料格式。 2. 資料品質與系統監控 (Quality Observability) 建立資料品質檢測機制（Data Quality Checks），確保數據的完整性、一致性與正確性。 設計並維護系統監控機制（Monitoring），在 Pipeline 失敗或資料異常時能自動告警，並進行 Root Cause Analysis (RCA) 與修復。 3. 資料架構與模型設計 (Architecture Modeling) 理解下游商業分析與報表需求，設計合適的 Data Model（資料模型），確保資料易於提取與分析。 協助維護 Data Dictionary（資料字典）與文件，提升資料的可觀測性與團隊協作效率。 4. 跨部門協作與技術支援 (Collaboration) 與業務部門及 Data Analyst 溝通，轉化商業需求為技術規格，並支援 Presales 與 POC (Proof of Concept) 的技術驗證。 資料領域知識： - 具備處理 JSON, XML, CSV 等多種資料格式的經驗。 -（關鍵） 理解開放資料標準或統計數據交換格式（如 Open Data API 串接或 SDMX 結構）者優先考慮。 - 對資料分析方法（如 BI 工具、統計分析）有基本概念，知道如何將 Raw Data 轉化為適合分析的結構 (Ready-for-analysis data)。 - 軟實力：具備良好的邏輯思維，能獨立解決複雜的資料異常問題，並具備撰寫高品質技術文件的能力。 5. 其他主管交辦事項

You’ll proceed the user research from identifying problems, data analysis to insights collects. Ultimately, you’ll facilitate the innovation process to develop new products or services for our users.● Work with product managers and designers on user research projects, from planning, conducting, and analysing to sharing insight and findings● Synthesise research findings from qualitative/quantitative data sources to form meaningful suggestions and actionable plans● Provide user research-related knowledge and suggestions to team members who are interested in conducting research on their own● Research and study new methods to build the research module and workflow● Oversee weekly user feedback sessions and provide guidance