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Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience using Python (Pandas, NumPy) or Java to develop data processing tools or automation scripts. Experience in managing data workflows using tools like Airflow, dbt, or Prefect. Experience in building and querying data within BigQuery, Snowflake, or Redshift environments. Experience in developing operational dashboards using Looker, Tableau, or Power BI. Preferred qualifications: Experience working with semiconductor manufacturing data or large-scale industrial datasets. Ability to manage complex data exchanges and integration workflows with external foundry or assembly partners. Ability to identify manufacturing anomalies and to explain architectures to non-technical stakeholders. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. As a Machine Learning Data and Analytics Engineer, you will be the architect of manufacturing intelligence. You will design, build, and maintain the data infrastructure that transforms fragmented information from the global partners into a cohesive, high-performance data ecosystem. Your work will directly enable the operations team to monitor production health, optimize yields, and make data-driven decisions in real-time.The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.Responsibilities Design and deploy pipelines to manage high-volume manufacturing data, including wafer maps, test results, and quality reports. Build automated tools to clean and normalize disparate data formats from foundry and assembly partners, ensuring a single source of truth. Create and maintain intuitive visualizations and dashboards to monitor the Key Performance Indicator (KPIs) and production health metrics. Develop and optimize data schemas that support high-speed ingestion and investigative querying for real-time decision-making. Partner with Operations and Engineering teams to translate business requirements into technical solutions while ensuring platform reliability and performance. 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.

❝ 跨領域/非相關科系(具相關經驗)➤ 等你來挑戰 ❞ ｜台灣半導體封測 前 ①⓪ 大廠｜⑴ 華泰 好 薪情 ☞ 年薪上看 16 個月⑵ 華泰 友 職涯 ☞ 專屬輔導員/HR服務窗口⑶ 華泰 善 生活 ☞ 福利平台10,000+ 家廠商任你逛(視營運狀況調整，固定或變動薪資因個人資歷或績效而異)【工作內容】1.大數據分析(資料清洗、分析、AI相關演算法建立)2.資料收集與整理(熟悉ETL、Python、C#開發)3.SQL資料庫管理4.SPC系統開發維運及修改

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。

Job Title: Product Manager – Web3 Startup Location: Remote/Hybrid Company: Block RiverTechnologies About Us We are a Web3 startup revolutionizing the way exotic derivatives, options, and structured products are traded on decentralized platforms. Our mission is to bridge traditional finance (TradFi) and decentralized finance (DeFi), providing innovative tools for both retail and institutional traders. This is a unique opportunity to join a fast-paced team at the forefront of the Web3 revolution and shape the future of trading. As a Product Manager, you will work closely with the marketing, business development, engineers, and designers to define, build, and deliver the core features of our platform. You’ll be responsible for translating the company’s vision into a seamless user experience while driving growth and adoption in a rapidly evolving market. What You’ll Do Define Product Strategy Roadmap: Collaborate with leadership to prioritize product initiatives, balancing business goals with user needs. Build from the Ground Up: Design and launch the MVP, iterating based on market feedback and performance metrics. User-Centric Approach: Work directly with users, traders, and stakeholders to gather insights and improve the product experience. Cross-Functional Collaboration: Partner with engineering, marketing, and business development teams to deliver scalable, high-impact solutions. Integrate DeFi Innovations: Ensure seamless integration with blockchain protocols, smart contracts, and decentralized exchanges (DEXs). Data-Driven Decision Making: Use data and analytics to inform product decisions and monitor performance.

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

Introduction to the jobCollaborates throughout a defined stakeholder network (usually within same department and covering lower Tier levels such as operational teams, project leads and subject matter experts) to execute business engineering processes and analyze data to identify process improvements. Coordinates the consolidation of data sources/input critical to report creation or management reviews.Focuses on assignments; gets clearly defined tasks from own manager, stakeholders or a senior business engineer in the implementation of business engineering processes, improvement projects or analytics reports. Works under supervision.Managing the health and operational excellence of GOC's dashboards. Handling all the data execution in the background via collaboration with central teams.Role and responsibilitiesResource ManagementSupports calculations related to well-defined quantitative models and trend analysis. Collects and validates information from several input sources (E.g. FTE data, labor hours, Cycle time).Supports the preparation and execution of resource management reviews (e.g. blueprint revisions, norms reviews, Total Annual Plan)Performance ManagementSupports the preparation and execution of performance reviews, ensuring all information is consolidated and available on time. (Example: GOC OST ticket performance.)Supports analysis and calculations of performance metrics using multiple sources and datasets.Business Intelligence Analytics ReportingCreates and visualizes performance/trending/gap analysis/ad hoc reports.Can support stakeholders requests with dashboards/business intelligence solutions (e.g. Excel, Power BI, Spotfire)Process improvements / optimizationAnalyzes data related to performance indicators, identifies trends and bottle necks, and provides insights into opportunities for improvement. Validates data quality with support of experts closer to the processes/sources (e.g. SAP)Process Knowledge ManagementSupports process specialists and experts in documenting and maintaining standards connected to Business Engineering processes (e.g. norms, L5)Creates and maintains work instructions for own scope, and ensures they are available in standard document management tools (e.g. Sharepoint, ARIS).Project Benefits ManagementParticipates in the implementation of improvements by providing analytical support. Works under guidance of project lead. Has limited experience with project management methodologies (E.g. ASML PM Method, SCRUM/Agile, PMI, DMAIC etc.)Supports business case calculations to translate specific metrics into project benefits. Keeps monitoring them throughout time.Continuous Improvement: Lean/Six SigmaSupports lean experts and other stakeholders in combining data analytics with CI tools (E.g. VSM, Daily Management, Hoshin Kanri , Problem Solving tools A3/4C). Has basic knowledge of the fundamental concepts of Lean and Six Sigma (white belt or yellow belt level). Supports problem-solving teams in reviewing and validating process improvements.Business Acumen Business PartneringHas basic understanding of the strategy and priorities of own department. Is aware of all business engineering processes within scope. Has limited practical experience with processes, KPIs, tools and systems within own department and other allocated departments.Communication Stakeholder ManagementKeeps own stakeholders up to date regarding requests and progress.Is aware of different communication channels (e.g. meetings, trainings, workshops, presentations).Contributes and supports in setting up workshops and trainings.Prepares input for presentations at senior levels.Education and experienceUniversity degree in Information technology, Engineering, Industrial Engineering, Operations, Supply Chain Management or Business Administration. Bachelor degree with no/limited experience.Has professional knowledge of theory and practices of operations, data analytics, business management. Able to master coding well.SkillsTechnical Analytical SkillsData Analysis FundamentalsAbility to analyze datasets, identify patterns, and derive insightsUnderstanding of descriptive statistics (mean, median, variance, correlations)SQL (Structured Query Language)Writing basic to intermediate queriesFiltering, joining, grouping, aggregating dataFamiliarity with relational databases (e.g., MySQL, SQL Server, PostgreSQL)SpreadsheetsStrong ExcelFunctions like VLOOKUP/XLOOKUP, INDEX/MATCH, pivot tables, chartsBasic data cleaning and formattingData Visualization ToolsExperience with BI tools such as:Microsoft Power BITableauAbility to build dashboards and simple reportsProgrammingBasic knowledge of Python or R for data analysisFamiliarity with libraries like Pandas, NumPy, Matplotlib (if using Python)Data Cleaning PreparationUnderstanding how to handle missing values, duplicates, and inconsistent dataBasic knowledge of ETL concepts is a plusIT-Related SkillsUnderstanding of Databases Data StructuresDifferences between relational and non-relational databaseFamiliarity with Cloud or Enterprise Tools (Bonus)Enterprise data platforms or warehousing toolsBasic IT Troubleshooting MindsetUnderstanding how systems connectAbility to investigate issues logicallySoft SkillsCommunication SkillsExplaining data insights in a simple, non-technical wayWriting clear documentation and summariesProblem-SolvingBreaking down business questions into data tasksLogical, systematic thinkingAttention to DetailSpotting inconsistenciesEnsuring data accuracy in reportsTeam CollaborationWorking with cross-functional teams (IT, finance, operations)Willingness to learn from senior analystsOther informationKnowledge of APIs and basic data integrationUnderstanding of basic machine-learning conceptsFamiliarity with ticketing tools (Jira, ServiceNow)This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

🌟 會員制度不是做階級、點數也不是做福利，真正能把人「留下來」的，永遠是策略＋洞察🌟 我們正在協助一家全台據點最多的零售集團，找一位能帶領 5–7 人團隊、打造完整會員生態圈的會員行銷 暨 數據策略主管（CRM Loyalty Program Head） 你會負責會員分級、權益制度、APP 產品功能、精準分群、自動化行銷，從 LTV、RFM 到流失預測，把「數據」變成「關係」，把「制度」變成「習慣」。 💼 核心工作職責 戰略制定與決策領導 (Strategy Leadership) 【會員經營策略制定】負責制定並落地執行公司未來 1-3 年的全通路會員經營（CRM） 總體戰略，確保策略與公司營運目標、數位轉型方向高度一致。依據市場趨勢與競爭者分析，主導會員分級、權益制度的設計、維護與持續優化，確保制度的創新性與長期吸引力。【團隊管理與發展】領導、指導與培育 5+ 人的會員行銷團隊，建立高效、數據導向的團隊文化，並分配資源以達成部門 KPI。建立並優化會員行銷的標準作業流程（SOP）與專案管理機制。 數據洞察與精準行銷 (Data Analytics Precision Marketing) 【數據驅動決策】能從數據分析會員輪廓、行為與消費習慣，驅動決策制定。 帶領團隊進行深度會員消費數據（RFM、LTV、流失率等）分析與解讀，將數據洞察轉化為具體的行銷執行方案。【精準行銷與自動化】規劃與監督會員分群（Segmentation）、標籤（Tagging）的建立與應用，執行 個人化、自動化 的精準行銷活動，以提升促銷活動的轉換率與投資回報率（ROI）。 數位產品與體驗優化 (Digital Product Customer Experience) 【APP 數位產品企劃】結合會員策略需求，主導或協作 APP 會員數位產品功能（如：會員中心、點數/兌換系統、個人化推薦） 的企劃、開發與優化。確保數位產品流程（UI/UX）設計能最大化會員體驗的友善度與黏著度。【跨部門協作與落地執行】具市場敏銳度與創新思維，能將新趨勢轉化為實際行動方案。透過跨部門溝通協作（IT、營運、行銷），確保會員經營與數位專案能夠高效落地執行，達成預期成果。

Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. ​​Within Azure Data, the messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications.  ​ ​​Azure Maps is the premier geospatial enterprise platform that helps you achieve more. It offers a rich set of location-based services for Azure enterprise customer applications, geospatial insights for data analytics, and location capabilities for web apps. Our team is looking for a skilled senior software engineer to help us build the next generation of our Web and data analysis platform. Our customers use Azure Maps services through a variety of channels, including Web SDK, REST APIs, Power BI and Fabric Map, and more. We are seeking driven software engineers with a growth mindset who are eager to learn and develop their skills. Additionally, we welcome engineers experienced in both front-end and back-end development to elevate our products to new heights. In this role, you will work with cutting-edge Web technologies, taking charge not only of coding tasks but also contributing to the product’s evolution and architecture. Join us in this exciting opportunity and leave your mark on a Tier 1 Azure service used by thousands of large enterprise customers! We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Responsibilities Act as a full stack engineer, designing and developing innovative features for the Fabric Maps, Azure Maps Web SDK, REST SDK and MCP server. Collaborate closely with our sister teams to create seamless user interfaces that deliver the best experience for customers using Azure Maps in applications like Fabric Maps, PowerBI Azure Maps visual, and other Microsoft applications.Participate in the regular on‑call rotation to ensure the reliability and availability of Azure Maps services.Work with engineering and support teams to deliver forward‑looking solutions that improve platform robustness and maximize customer value.Lead the integration of AI and LLM-powered systems into our CI/CD pipelines, transforming how features are built, reviewed, and shipped, dramatically improving development velocity and reliability. Embody our culture and values

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. Job Description: We are seeking an experienced leader to drive Supplier / Manufacturing Quality Engineering to anchor our global supplier quality efforts across both Astera Lab’s semiconductor and board-level products. In this role, candidates will drive leading supplier quality across key manufacturing partners including IC fabs, OSAT’s, and PCB/PCBA vendors. A strong foundation in supplier quality engineering, uniquely paired with experience in advanced data analytics (including AI and machine learning) for predictive quality, risk assessments, and product quality analytics will be highly valuable to this role. Responsibilities: Supplier Quality Management · Nurture winning partnerships across all our strategic manufacturing suppliers: semiconductor wafer fabs, advanced packaging test (OSAT), boards assemblies (PCB / PCBA / SMT), substrates / interposers, probe cards, and passive components. · Develop robust supplier selection and onboarding processes in collaboration with Design, Procurement, Business Engineering Operations teams. · Define, build, and manage the systems to collect the data (KPI’s) needed to track supplier performance and drive continuous improvement. · Audit to assess the effectiveness of supplier process controls, manufacturing capabilities, and overall quality management system. · Coach suppliers by sharing your deep manufacturing experience and knowledge. · International travel as needed, potentially on short notice. There is no minimum amount but prepare to accommodate up to 20%. Advanced Data Analytics AI/ML · Create data collection methods to enable product and supplier advanced data analytics needed for monolithic, chiplet, and board products. Data sources will include manufacturing inline controls, production test (including data collection from advanced embedded agents), and failure analysis activities. · Leverage data into quality models methods to predict product quality issues and supply chain risks. · Integrate AI/ML tools into quality systems and dashboards (e.g., outlier screening, automated defect detection, trend analysis, real-time alerts). · Experience with AI/ML tools is a plus but not required; ability to work with technical partners on model development is key. Cross-functional Collaboration · Interface with RD, NPI, product engineering, ops and other engineering teams to provide supplier input into product design and DFX. · Support early supplier involvement and ensure quality requirements needed for manufacturability testability are achieved, and learnings are propagated appropriately to other products in production development. · Represent supplier quality as needed in line failure reviews, excursion management, material reviews (MRB), and CAPA processes. · Partner with engineering and manufacturing teams to conduct quarterly engineering reviews, evaluate supplier changes (PCN), and assess supplier risks. · With engineering engagement, lead quality audits, and corrective action activities using tools such as 8D, 5-why, and FMEA. Education Experience · Bachelor’s or Master’s degree in Engineering or equivalent experience. · 8+ years of career progression in supplier quality engineering in the semiconductor and/or board-level electronics industry. · 3+ years direct experience working embedded within a high-volume advanced manufacturing operation in an engineering role. · Experience with supplier development in Asia with global manufacturing supply chains. · Six Sigma or ASQ certification a plus Technical Skills · Strong knowledge of IC fabrication, packaging (including chiplet), board assembly (SMT), and test processes. · Familiarity with reliability qualification methodologies in the application of IPC, Telcordia, JEDEC requirements. · Proficiency with quality engineering tools (FMEA, APQP, PPAP, SPC, OE, etc.). · Experience using analytics tools (e.g., JMP, SQL, Excel) to support quality insights. Exposure to AI/ML frameworks is a plus, but not required. · Fluent in English and Mandarin We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Data Analytics Engineering: Build and maintain data pipelines; integrate data from SAP/Non‑SAP and operational systems.Develop dashboards and reports (e.g., Power BI) for KPI monitoring and root‑cause analysis.Automate data processing with Excel VBA, Python, or equivalent scripting to reduce manual effort.Applied Data Science: Perform data mining, statistical analysis, and predictive modelling to support operational decisions.Validate models, monitor performance, and operationalize insights for frontline usage.Knowledge Management (KM):Establish KM taxonomy, templates, and versioning; curate reusable playbooks and standards.Implement governance for content lifecycle, searchability, and compliance with data policies.Operational ExcellenceLink digital/KM initiatives to Hoshin Kanri goals and operational KPIs; drive measurable improvements in cycle time, quality, and cost.Facilitate cross‑functional problem‑solving and standardize ways of working.Change Stakeholder ManagementLead adoption through training, communications, and feedback loops; measure usage and impact.Serve as the primary non‑PGP contact window, aligning deliverables and timelines across teams.Security ComplianceEnsure data privacy, access controls, and auditability; enforce governance standards across toolsEducation and experience- Master degree with 3-5 yrs experience in semiconductor experience (e.g. line, engineering), has a general understanding of technical topics (through technical background or job experience).This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.