Cake Job Search

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

Salary: Negotiation Location: Ho Chi Minh Office (Văn phòng Hồ Chí Minh) Team: Data Analytics (Phân tích dữ liệu) Application deadline: 05/12 — 31/12/2025 Job Scope The perfect candidate should have a combination of technical expertise, analytical thinking, and business acumen. You will have a crucial role in converting data into valuable insights that drive business decisions. This involves using various skills and tools to clean, analyze, and visualize data, as well as creating machine learning models and data products to support different business functions. Data Analysis: Perform detailed data analysis and interpretation to identify trends, patterns, and insights.Utilize statistical tools and techniques to extract actionable insights from large and complex datasets.Conduct ad-hoc analysis to address specific business questions and challenges. Machine Learning and Predictive Analysis Develop machine learning models to support various business functions, enhancing predictive/ prescriptive capabilities and operational efficiency. Reporting and Visualization: Develop and maintain regular PBI reports and dashboards to track key business metrics and facilitate informed decision-making.Present findings and insights to stakeholders through clear and compelling visualizations.Train support business users on building dashboards/ visualizations on their own. Collaboration: Work closely with various departments to understand their data needs, pain points and provide analytical support.Collaborate with Digital Technology and Data Engineering teams to improve data infrastructure and accessibility.Participate in cross-functional projects to drive data-driven decision-making. Strategic Insights: Provide recommendations based on data analysis to support strategic planning and decision-making.Identify opportunities for process improvements and operational efficiencies.Monitor industry trends and competitive landscape to inform business strategies. Documentation: Document all methodologies and results to ensure clarity and reproducibility of analyses. Benefit package: Attractive salary package depending on seniorityHybrid Work Policy16 days annual leave + 6 paid sick leavePVI Healthcare extraLearning Training opportunityCaring policies, supportive and employee-centric work environmentEngagement Activities

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

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.

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

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.Job Summary:Were seeking an experienced Salesforce Data Hygiene Analyst to join our team. As a Data Hygiene Analyst, you will be responsible for ensuring the accuracy, completeness, and consistency of our Salesforce data. You will work closely with our sales, marketing, and IT teams to identify and resolve data quality issues, develop and implement data hygiene processes, and provide reporting and analytics to support business decision-making.Key Responsibilities:*Data Quality Management*: Ensure the accuracy, completeness, and consistency of Salesforce data, identifying and resolving data quality issues, and implementing processes to prevent future issues.*Data Analysis*: Analyze Salesforce data to identify trends, patterns, and inconsistencies, and provide insights to support business decision-making.*Reporting and Analytics*: Develop and maintain reports and dashboards to track data quality metrics, sales performance, and other key business indicators.*Data Hygiene*: Develop and implement data hygiene processes to ensure data accuracy, completeness, and consistency, including data validation, data cleansing, and data standardization.*Collaboration*: Work closely with sales, marketing, and IT teams to understand data requirements, identify data quality issues, and implement data-driven solutions.*Excel and MS Office*: Utilize Excel and other MS Office tools to analyze data, create reports, and develop dashboards.Requirements: Experience*: 2 years of experience in Salesforce data analysis, data hygiene, or a related field.Salesforce*: Strong knowledge of Salesforce data management, including data import, export, and manipulation.Excel*: Advanced Excel skills, including data analysis, reporting, and dashboard creation.MS Office*: Proficiency in MS Office, including Word, PowerPoint, and Outlook.Reporting*: Experience with reporting and analytics tools, including Salesforce reporting and dashboard creation.Analytical Skills*: Strong analytical and problem-solving skills, with the ability to identify and resolve complex data quality issues.Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.Nice to Have:Salesforce certifications (e.g., Administrator, Developer)Experience with data visualization tools (e.g., Tableau, Power BI)Knowledge of data governance principles and best practices.#LI-AL1 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.

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