Cake 找工作

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/

【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.

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the jobAt Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures, metrics, advocating for changes where needed for product development. 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.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team:The Operations Quality and Consumer Customer Experience (CX) team is dedicated to enhancing customer satisfaction across the entire product lifecycle, ensuring outstanding product quality and a superior consumer experience. By channeling the Voice of Consumer to internal stakeholders, the team drives continuous improvement and data-informed decision-making. Focused on fostering customer loyalty and delivering consistent excellence, the team supports Logitechs strategy of becoming an Iconic brand through exceptional products and consumer experiences.The Role: The Data Analyst will work collaboratively with stakeholders, transforming both quantitative and qualitative consumer voice data into actionable insights through data mining, and driving continuous improvement initiatives as a result.The role also involves identifying opportunities to enhance product quality, elevate consumer experience, and optimize Quality and CX operations using advanced data analysis techniques.The Data Analyst will be responsible for analyzing Quality and CX data to monitor the health of product quality, consumer experience, and operational efficiency, while presenting findings to stakeholders and producing insightful reports and reviews.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Data Architecture Expertise: Serve as a subject matter expert in data structure, ensuring alignment with evolving business needs.Analytics Projects: Gather business requirements from diverse stakeholders (Engineering, Manufacturing, Consumer Experience, Quality, Finance, etc.), convert business questions into analytics initiatives, and independently perform analyses to deliver valuable insights.Insights Communication: Extract actionable insights to support strategic decisions, presenting findings to stakeholders in a clear and impactful manner.Extract user, transaction, and other system data to create comprehensive reports and drive informed decision-making.Fostering a Data Culture: Promote a data-driven mindset across teams to enhance decision-making and operational cohesion.Process Optimization: Collaborated with business stakeholders to standardize maintain key metrics, strengthen architectural decisions, and establish scalable processes.  Cross-functional Collaboration: Build and maintain strong, cooperative relationships with stakeholders to drive impactful initiatives and ensure alignment across teams.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:5 years of proven experience from a similar role, including at least 3 years in data analytics with data visualization.Strong Experience with data visualization tools,  preferable Tableau.Advanced SQL querying knowledge for data analysis. Snowflake experience is preferable.Experience with project managementHands on approach, leading by doing and never afraid of getting ‘muddy hands’Excellent communication skills in English.Proven ability to build strong, collaborative relationships across different levels and functions.A strong sense of ownership and proven experience driving cross-functional initiatives.In addition, below skills are a plus:Certified project management professional  (PMP or similar)Experience with programming tools such as Python, R.Basic knowledge of AI/ML technologies, GenAI, Agentic AI, MCP. Exposure to Claude, GeminiEducation:Bachelor or Masters in Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems or similar.#LI-MK1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

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

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team:The Operations Quality and Consumer Customer Experience (CX) team is dedicated to enhancing customer satisfaction across the entire product lifecycle, ensuring outstanding product quality and a superior consumer experience. By channeling the Voice of Consumer to internal stakeholders, the team drives continuous improvement and data-informed decision-making. Focused on fostering customer loyalty and delivering consistent excellence, the team supports Logitechs strategy of becoming an Iconic brand through exceptional products and consumer experiences.The Role: Logitech is seeking a skilled and driven Quality and CX End-to-End  AI/ML Data Analyst to work collaboratively with stakeholders, transforming both quantitative and qualitative consumer voice data into actionable insights through data mining, and driving continuous improvement initiatives as a result.The role also involves identifying opportunities to enhance product quality, elevate consumer experience, and optimize Quality and CX operations using advanced data analysis techniques.The Data Analyst will be responsible for analyzing Quality and CX data to monitor the health of product quality, consumer experience, and operational efficiency, while presenting findings to stakeholders.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Data Architecture Expertise: Serve as a subject matter expert in data structure, ensuring alignment with evolving business needs.Analytics Projects: Gather business requirements from diverse stakeholders (Engineering, Manufacturing, Consumer Experience, Quality, Finance, etc.), convert business questions into analytics initiatives, and independently perform analyses using AI/ML technologies to deliver valuable insights.Insights Communication: Extract actionable insights to support strategic decisions, presenting findings to stakeholders in a clear and impactful manner.Extract user, transaction, and other system data to create comprehensive reports and drive informed decision-making.Leverage LLM/NLP technologies to analyze customer sentiments and identify opportunities for improvement.Fostering a Data Culture: Promote a data-driven mindset across teams to enhance decision-making and operational cohesion.Process Optimization: Collaborated with business stakeholders to standardize maintain key metrics, strengthen architectural decisions, and establish scalable processes.  Cross-functional Collaboration: Build and maintain strong, cooperative relationships with stakeholders to drive impactful initiatives and ensure alignment across teams.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:10 years of proven experience from a similar role, including at least 5 years in data analytics or data science.Proficiency in programming tools such as Python, R.In-depth knowledge of AI/ML technologies, GenAI, Agentic AI, MCP. Exposure to Claude, GeminiExperience with data visualization tools,  preferable Tableau.Basic SQL querying knowledge for data analysis.Strong experience with project management and change management principles, methodologies and tools.Hands on approach, leading by doing and never afraid of getting ‘muddy hands’Excellent communication skills in English.Proven ability to build strong, collaborative relationships across different levels and functions.A strong sense of ownership and proven experience driving cross-functional initiatives.In addition, below skills are a plus:Certified project management professional  (PMP or similar) Education:Bachelor or Masters in Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems or similar.#LI-MK1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Role:We are looking for a candidate to join our team who will be involved in the ongoing development of our Enterprise Data Warehouse (EDW) The Media and Marketing Data Enginee role will include participating in the loading and extraction of data, including external sources through API , Storage buckets( S3,Blob storage) and  marketing specific data integrations. The ideal candidate will be involved in all stages of the project lifecycle, from initial planning through to deployment in production. A key focus of the role will be data analysis, data modeling, and ensuring these aspects are successfully implemented in the production environment.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:Design, Develop, document, and test ETL solutions using industry standard tools.Ability to design Physical and Reporting Data models for seamless cross-functional and cross-systems data reporting.Enhance point-of-sale datasets with additional data points to provide stakeholders with useful insights.Ensure data integrity by rigorously validating and reconciling data obtained from third-party providers.Collaborate with data providers and internal teams to address customer data discrepancies and enhance data quality.Work closely across our DI teams to deliver datasets optimized for consumption in reporting and visualization tools like TableauCollaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into data solutions.​​​​Participate in the design discussion with enterprise architects and recommend design improvementsDevelop and maintain conceptual, logical, and physical data models with their corresponding metadata.Work closely with cross-functional teams to integrate data solutions.Create and maintain clear documentation for data processes, data models, and pipelines. Integrate Snowflake with various data sources and third-party tools.Manage code versioning and deployment of Snowflake objects using CI/CD practicesKey Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:A total of 6 to 10 years of experience in ETL design, development, and populating data warehouses. This includes experience with heterogeneous OLTP sources such as Oracle R12 ERP systems and other cloud technologies.At least 3 years of hands-on experience with Pentaho Data Integration or similar ETL tools.Practical experience working with cloud-based Data Warehouses such as Snowflake and Redshift.Significant hands-on experience with Snowflake utilities, including SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, Snowflake AI/ML and stored procedures.Worked on API based integrations and marketing dataDesign and develop complex data pipelines and ETL workflows in Snowflake using advanced SQL, UDFs, UDTFs, and stored procedures (JavaScript/SQL).Comprehensive expertise in databases, data acquisition, ETL strategies, and the tools and technologies within Pentaho DI and Snowflake.Experience in working with complex SQL Functions Transformation of data on large data sets.Demonstrated experience in designing complex ETL processes for extracting data from various sources, including XML files, JSON, RDBMS, and flat files.Exposure to standard support ticket management tools.A strong understanding of Business Intelligence and Data warehousing concepts and methodologies.Extensive experience in data analysis and root cause analysis, along with proven problem-solving and analytical thinking capabilities.A solid understanding of software engineering principles and proficiency in working with Unix/Linux/Windows operating systems, version control, and office software.A deep understanding of data warehousing principles and cloud architecture, including SQL optimization techniques for building efficient and scalable data systems.Familiarity with Snowflake’s unique features, such as its multi-cluster architecture and shareable data capabilities.Excellent skills in writing and optimizing SQL queries to ensure high performance and data accuracy across all systems.The ability to troubleshoot and resolve data quality issues promptly, maintaining data integrity and reliability. Strong communication skills are essential for effective collaboration with both technical and non-technical teams to ensure a clear understanding of data engineering requirements.In addition, preferable skills and behaviors include:Exposure to Oracle ERP environment,Basic understanding of Reporting tools like OBIEE, TableauExposure to Marketing data platform like Adverity,Fivertran etcExposure to Customer data platformEducation:BS/BTech/MCA/MS in computer science  Information Systems or a related technical field or equivalent industry expertise.Fluency in English.Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.  “All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.” Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5 years of experience in silicon timing closure and chip integration. Experience in one or more static timing tools (e.g., PrimeTime, Tempus). Experience with STA sign-off constraint authoring for full-chip level, tape-out sign-off requirements, checklists, and associated automation. Preferred qualifications: Bachelor's degree in Computer Science or Engineering. Experience in extraction of design parameters, QoR metrics, and analyzing data trends. Experience in engineering across logic and physical design, top-level implementation, Global Distribution System (GDS) tape-out. Experience in the delivery of complex silicon utilizing state-of-the-art technology process nodes. Knowledge of semiconductor device physics and transistor characteristics. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Drive the sign-off timing convergence for high-performance designs. Set up timing constraints, define the overall Static Timing Analysis (STA) methodology. Set up the STA infrastructure and sign-off convergence flows. Work with block owners throughout the project for sign-off timing convergence. 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.