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Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Advanced Quality System Development (AQSD) is part of TSMC's Intelligent Manufacturing Center (IMC), responsible for three main directions: Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department.Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab.Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules. Responsibilities: Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.Design, develop and test prediction models with real applications in manufacturing.Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

Join Our Fast-Growing APAC Team! Are you a data-driven problem solver with strong Python and SQL skills? Do you have a keen eye for detail and a passion for optimizing financial processes through data analysis? If so, we want to hear from you! In this role, you will play a key part in delivering high-quality customer data analysis and quality assurance to support our internal financial control function. You will also help the Revenue Operations team uncover valuable customer insights through data analysis on our existing inline services. As inline continues its rapid expansion across APAC, we are looking for highly detail-oriented individuals with strong analytical capabilities to derive insights from diverse data sources. Fluency in English is a plus, as this role involves communication with global partners. We value proactive problem-solvers who take ownership of their work, manage their time efficiently, and continuously seek to improve workflows and documentation. If you're passionate about financial data analytics and eager to drive meaningful impact, this role is for you!What You Will Do Data Analysis & Optimization Python & SQL are essential – use them to automate, analyze, and optimize financial data.Enhance and optimize the billing system using Google Apps Script (GAS) to enable automation.Analyze customer payment behaviors and propose data-driven solutions to improve collection efficiency.Monitor and analyze monthly revenue performance to ensure accuracy and financial health.Maintain clean, structured, and well-documented financial data dashboards for better decision-making. Billing & Accounts Management Set up, manage, and optimize billing systems to improve efficiency.Support customer billing inquiries, ensuring clarity and resolution.Enhance the customer payment experience, making transactions seamless.Maintain accurate financial records and ensure proper cash flow tracking.Conduct regular follow-ups with domestic and international clients via calls, emails, and meetings.Standardize billing processes and ensure invoice accuracy. Process Management & Documentation Accurately track internal and external requests, process information quickly, and resolve issues.Develop and maintain clear, well-structured documentation to improve operational efficiency.Implement and maintain daily, weekly, and monthly productivity and quality metrics based on department needs.

【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/

Please visit this Google Careers posting for the Vietnamese-translated version of this role.Minimum qualifications: Bachelor’s degree in Materials Science, Mechanical, Chemical, or Electrical Engineering, Mechatronics, or equivalent practical experience. 4 years of experience with analysis of medical devices, consumer goods/products/electronics, aerospace/defense, adhesive/resin selection, solar, materials analysis. Experience working with lab tools (microscope, balance) and utilizing lab tools to answer questions. Preferred qualifications: Master's degree in Materials Science, Mechanical/Chemical/Electrical Engineering, or Mechatronics. Experience with potting and polishing samples. Experience with inspection equipment (X-ray, CT), and scanning electron microscopy. Experience programming in 1 or more of the following languages: MATLAB, Python, R, JavaScript, C/C++ or GenAI. Experience in experimental automation, instrument control, data analysis tools, numerical simulations, or statistical analyses. Ability to travel up to 10% of the time, including international travel as needed. About the jobAs a Reliability Engineer, you will play a key role in creating new consumer electronic products that meet a high bar for reliability and performance. You will work closely with the product management and design engineering teams to define standards, specify tests, and then supervise test execution and failure analysis. A broad engineering background and command of statistical methods will help to inform design of new products. Your strong people management and communication skills will be key to ensuring adoption of your technical recommendations. Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.Responsibilities Contribute to the investigation of hardware device failures, including but not limited to: materials, electrical, and component quality. Apply scientific principles and investigative techniques to identify the fundamental causes of hardware device failures. Utilize techniques such as microscopy, CT, and basic electrical probing to identify failure modes. Be responsible for sample preparation, including pot and polish and teardown. Develop clear failure analysis documentation that can be read by both technical and non-technical audiences. Develop and optimize new analytical methods and laboratory procedures to address emerging challenges and improve failure analysis capabilities. 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.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.We are seeking an experienced and dedicated Logistics and Shipping Specialist to oversee and optimize our shipping and logistics processes for special customers. The ideal candidate will possess in-depth knowledge of export regulations, exceptional communication skills, and the ability to manage multiple projects and data analysis initiatives. This role is crucial for ensuring smooth customs clearance, efficient logistics operations, and the continuous enhancement of IT solutions for data analysis.Responsibilities:1. Shipping and Logistics Management:(1) Oversee and manage the entire shipping and logistics process for special customers, ensuring timely and cost-effective delivery of goods.(2) Coordinate with internal teams and external partners to streamline operations and resolve any logistical issues.2. Export Expertise:(1) Provide expert guidance on export regulations and procedures to facilitate smooth customs clearance.(2) Regularly update and enhance the flight matrix to improve shipping efficiency and reduce transit times.3. Project and Hub Management:(1) Lead and manage logistics service-related projects and hub operations to ensure optimal performance and compliance with company standards.(2) Implement best practices in logistics management and continuously seek opportunities for process improvements.4. IT Solutions and Data Analysis:(1) Collaborate with the IT department to develop and enhance IT solutions for comprehensive data analysis.(2) Utilize data insights to drive strategic decisions and improve logistics performance.

【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

BẤM NÚT APPLY/ ỨNG TUYỂN ĐỂ XEM THÊM THÔNG TIN CHI TIẾTResponsibility Exploratory data analysisApplying advanced algorithm to derive value businessA/B TestingWork with analytics translator to understand business’s needs Requirements: Pursuing a degree in Computer Science, Mathematics, Statistics, or a related field. GPA 7/10 or 2.8/4Willing to take 6 months duration ready to start in Jan/March 2026Strong programming skills in languages such as Python, R, or Java, and familiarity with data manipulation and analysis libraries such as Pandas, NumPy, and Scikit-learn. Knowledge of SQL, databases, and data modeling is also preferred.Analysis large-scare data set and big data.Basic statistic machine learning is strong plus. ** Only shortlisted candidates will be contacted!

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.BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.About the Opportunity:We are seeking a proactive, detail-oriented Junior Data Analyst to join our Business Operations team. In this role, you will support daily operational analytics by extracting data, building dashboards, and providing insights that strengthen decision-making across the organization and help to improve the efficiency of our processes. This position is ideal for recent graduates or early-career analysts who are interested in business operations, data analysis, fintech, or crypto. You will work closely with BizOps, Compliance, Risk, and Product teams to deliver accurate, timely, and actionable data, ensuring the smooth functioning of our platform and internal processes.Responsibilities:Assist in manually performing calculations and data pulls as required by the team.Scrub and validate large datasets, focusing on key metrics set by different functional teams.Support cross-team efforts to improve data accuracy by collaborating with Data Engineering on tagging, data definitions, and data integrity checks.Help maintain and organize internal records, ensuring they are updated and easily accessible.Develop and maintain dashboards in Tableau for data visualization.Conduct data analysis for cross-functional projects to help departments make data-driven decisions and evaluate business impact.Participate in projects that aim to streamline operations and improve data accuracy.Troubleshoot data discrepancies and assist with resolving issues as they arise.Perform other ad-hoc tasks as required by the direct supervisor.Requirement:Recent graduate or entry-level candidate with a keen interest in data analysis, business operations, or marketing.Strong attention to detail with an ability to focus on accuracy while working with large amounts of data.Proficient in data analysis tools, SQL, Database, Tableau, Microsoft Excel (knowledge of basic functions, formulas, and data entry).Good communication skills and ability to collaborate effectively with cross-functional teams.Ability to learn quickly and take on new challenges with a proactive attitude.Organized, dependable, and self-motivated.Perks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependentsAnd many more! Apply and let us tell you more!#LI-GL1

1. Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.2. Conduct precise analysis of probability distributions in casino games, develop and validate mathematical models to ensure game fairness and risk control, supporting compliance operations and decision-making.3. Continuously explore and implement various applications of LLMs in business, from natural language processing to intelligent customer service and content generation, driving enterprises toward intelligent transformation.4. Work closely with various business units, leveraging data analysis and visualization tools to promote a data-driven decision-making culture, helping departments uncover insights from data and develop effective strategies.

As a Senior Data Analyst in the Financial Services sector, with a focus on credit products, you will leverage your expertise in data analysis to deliver actionable insights that drive business decisions.You will be responsible for analyzing large datasets, creating financial models, and working closely with cross-functional teams to optimize credit risk strategies, customer acquisition, retention, and profitability.Mô tả công việcConduct rigorous hypothesis testing, including A/B testing, to evaluate the effectiveness of marketing campaigns and product featuresCollect, analyze, and interpret large datasets to identify trends, patterns, and insights that contribute to business growth and operational efficiency.Leading complex data analysis projects from inception to completion.Mentoring junior team members and providing guidance on technical and analytical skills.Assist in creating business cases with detailed analysis, outlining problems, opportunities, solutions, strategic directions, and performance management for investment and insurance productsPlan, forecast and monitor performance and budget of said projects while proposing necessary changes to maximize efficiencyYêu cầu công việcMinimum Qualifications (education): Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.Experience:At least 3 years of experience in data analytics, preferably in the financial services, credit sector.Experience working with digital lending productEssential skills:Experience with BI/analytics tools (Google BigQuery, Data Studio..)Proficiency in SQL, Python is a mustFamiliarity with machine learning techniques and financial modeling.Advanced proficiency in statistical analysis, and data visualization.Ability to lead and mentor junior team members.Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong project management skills and ability to prioritize and manage multiple tasks simultaneously.Personal characteristics:Result-orientedDo whatever it takes to get the job doneCuriosity and eagerness to learn new techniques and toolsInnovative thinking and problem-solving mindsetAttention to detail and commitment to producing high-quality work