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At MoMo, we are not just processing transactions; we are shaping the future of finance in Vietnam. We are seeking a visionaryAnalytics Engineering Managerto bridge the gap between complex data infrastructure and actionable business insights. In this pivotal role, you will lead the charge in defining our data modeling standards, ensuring data quality, and empowering our stakeholders with a robust, self-service data platform. If you are passionate about applying software engineering best practices to data analytics and leading high-performing teams, we want you to build the future with usMô tả công việc1. Team Leadership Culture:Lead, mentor, and grow a team of talented Analytics Engineers. You will be responsible for their career development, fostering a culture of continuous learning and technical excellence.Champion the "Data as a Product" mindset, ensuring that datasets produced by the team are treated with the same rigor and reliability as customer-facing software.Drive agile processes within the data team to ensure rapid delivery of value while maintaining high standards.2. Technical Strategy Architecture:Architect and maintain a scalable data modeling layer (using tools likesemantic) that transforms raw data into reliable, documented, and accessible datasets.Define and enforce coding standards, version control practices (Git), and CI/CD workflows for analytics code.Collaborate with Data Engineering to optimize data warehouse performance (e.g., BigQuery/Lakehouse) and manage compute costs effectively.3. Data Quality Governance:Implement automated testing and observability frameworks to detect data issues before they impact downstream users.Establish clear data lineage and documentation to democratize data access across the organization.Ensure strict adherence to data privacy, security, and compliance standards—a critical requirement in the Fintech sector.4. Cross-Functional Collaboration:Partner closely with Product Managers, and Business Leaders to translate complex business requirements into technical data solutions.Act as a technical advisor, helping stakeholders understand the "art of the possible" with our data stack.Yêu cầu công việcExperience:5+ years of experience in the Data domain, with at least 2 years in a leadership or management role.Technical Mastery:Expert-level SQL skills and deep understanding of query optimization.Hands-on experience with Cloud Data Warehouses (Google BigQuery)Workflow Orchestration:Hands-on experience with orchestration tools such asAirflow, n8n.You should be capable of designing complex, dependency-aware pipelines that are resilient to failure.BI Semantic Layer Integration:Deep understanding of how data is consumed by BI tools (e.g.,Looker...). Ability to design the 'Semantic Layer' to ensure consistent metrics across the organization.Soft Skills Culture FitStakeholder Management:"Ability to manage expectations with C-level executives and negotiate priorities effectively in a fast-paced environment."Talent Acquisition:"Experience in recruiting top-tier engineering talent and building a diverse, high-performing team from the ground up."

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

Mô tả công việcCreate, maintain, and update test-related artifacts, including Test Cases, Test Plans, and Test Reports for marketing products.Perform testing on advertising features such as:Campaign, Creative, Ad Group managementTargeting, Budgeting, Bidding logicTracking (Impression, Click, Conversion)Ads Reporting DashboardExecute all phases of testing:Functional Testing, Integration Testing (Ads services, tracking, billing, reporting),System Testing and Regression Testing, Ad-hoc Testing for risk-based scenarios in production-like environments.Track testing progress, monitor product quality, and report issues/risks to TL/PM in a timely manner.Analyze Ads/promotion business requirements and participate in requirement/PRD reviews to detect logic gaps and tracking/data issues early.Prepare test data and test environments for Ads campaigns, creatives, budgets, and reports.Analyze defects, identify root causes, and propose solutions to improve Ads/promotion system quality and performance.Collaborate closely with Developers, Product, Data, and Operations teams to ensure quality, SLA, and stability of the Ads/promotion platform.Contribute to improving QC processes, checklists, and test strategies for Ads/promotion systemsYêu cầu công việcExperience Technical SkillsBachelor’s degree in Computer Science or related fields.At least 2 - 3 years of experience in Manual Testing for Web, Mobile, and Backend systems.Hands-on experience in:Integration Testing, creating Test Cases and Test Plans across multiple projects.API Testing using Postman (request/response validation, tracking events).Database querying (MySQL, PostgreSQL, BigQuery, etc.).Knowledge of: Software Development Methodologies (Agile/Scrum).Soft SkillsStrong analytical mindset with attention to data accuracy and business logic.Ability to handle multiple projects and work under tight release schedules.Proactive, responsible, and a strong team player.Willingness to work overtime when required by project needs.Nice to HaveExperience in Test Automation for Web, Mobile, or Backend systems.Experience in testing: Ads Platform / AdTech / Tracking or Data-intensive systems is a strong advantage.

The MoMo Recommendation Platform is a complex system that powers personalized experiences for millions of users using a diverse range of technologies.We’re looking for a Senior Software Engineer with strong system thinking, architecture design skills, and a product mindset to help build the MLOps platform that transforms any AI/ML solutions into production-grade systems at scale.Mô tả công việcThink like a product engineer: you don’t just “code a solution” – you build a platform that empowers others to deliver intelligent sysDesign and develop a flexible platform that turns AI/ML solutions into production-ready systems: microservices, batch pipelines, or real-time APIsBuild infrastructure to support:Model training pipelinesPackaging deploymentServing rolloutMonitoring alertingCollaborate closely with Data Scientists, Business, and Product teams to deeply understand requirements and design adaptable, scalable solutionsIntegrate platform components into MoMo’s broader infrastructure: promotion engine, A/B testing, analytics, real-time scoring, etc.Yêu cầu công việcMust-Have5+ years of experience in software development, system architecture, or backend/platform engineeringProficiency in one or more of the following: Python, Bash, C++, JavaScript, Java, or GoStrong problem-solving skills and teamwork spiritExperience with:Platform Deployment: Kubernetes, Helm, Argo CD, Argo Rollouts, Docker, Google Cloud Platform (GCP) or Amazon Web Services (AWS)Serving APIs: FastAPI, gRPC, MLflow, KServe, custom logic services, REST APIsData Messaging: BigQuery, Redis, MongoDB, PostgreSQL, Oracle, MySQL, Kafka, Pub/SubOrchestration Workflow: Airflow, Argo WorkflowsCI/CD Monitoring: GitHub Actions, Prometheus, GrafanaData Sources: App event streams, relational databases, messaging systems, APIsSolid understanding of distributed systems and cloud-native architectureAbility to design systems that support diverse solution typesPlatform mindset: you build for stability, scalability, and long-term maintainabilityStrong communication and collaboration skills – able to work cross-functionally with Data Scientists, DevOps, and Product teamsNice-to-HaveExperience working with both AI/MLExperience scaling low-latency / real-time systemsFamiliarity with A/B testing, canary release, and shadow deployment strategiesProduct-oriented mindset: you build systems that others can easily adopt and extend

We are seeking an experienced and highly analytical Lead - Data Analytics for our Financial Services Division.In this critical role, you will be the driving force behind transforming complex financial data into strategic assets. You will lead a team to uncover deep, actionable insights that directly influence business strategy, product innovation, customer lifecycle management, and overall profitability.If you are passionate about using predictive modeling, machine learning, and statistical analysis to solve high-impact business problems in the financial world, this is the role for you.Mô tả công việcLeading a team of 2-3 data analysts to deliver high-quality analysis and insights.Drive the adoption of machine learning and AI Agents to solve complex business challenges.Setting strategic direction for the team and prioritizing projects based on business objectives.Establishing best practices and standard operating procedures for data analysis and reporting.Collaborating with senior management to align data analytics initiatives with business goals.Yêu cầu công việcMinimum Qualifications (education):Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.Experience:At least 4-5 years of experience in data analytics, preferably in the financial services, banking sector/ fintech product with demonstrated leadership capabilitiesEssential skills:Experience with BI/analytics tools (Google BigQuery, Data Studio..)Proficiency in SQL, Python is a mustDemonstrated experience building and deploying various machine learning modelsAdvanced proficiency in statistical analysis, and data visualization.Solid understanding of fintech operations, products, and regulatory requirements.Strong communication and interpersonal skills to collaborate with cross-functional team members and explain findings clearly to internal team as well as stakeholdersProven ability to build and manage a high-performing team in a fast-paced environment.Personal characteristics:Do whatever it takes to get the job doneStrong leadership qualities and ability to inspire and motivate team members.Strategic thinker with a results-driven mindset.Commitment to fostering a collaborative and inclusive team culture.

The Business Analyst will be part of Customer Experience Excellence team, and work to supplement the analytics and visualization contributions towards the data-driven decisions at MoMo. This candidate should enjoy managing high volumes of customer operational data and be comfortable providing analyses and insights. They will have the opportunity to directly influence the products and development of the company, and their conclusions will have a wide-ranging impact on the customer experience decisions of the business.Mô tả công việcExperience Monitoring and Improvement:Building, developing, and maintaining automated dashboards to monitor performance metricsMonitoring data quality to ensure data sources are reliable and relevant for the team’s purposesAnalyzing complex data to drive insightful findings and translating them into meaningful, actionablerecommendations for our stakeholdersDesigning and implementing solutions and best-practices, with automation and scalability in mind, to empowerend-users to become self-reliantCollaborating with internal team to consolidate requirements, understand business needs, and deliver projects in a timely mannerAd-hoc Reporting Data Analysis duties or other responsibilities as requireProject management:Assist the Customer Experience Management Team in implementing improvement projects related to customer operations.Contribute to the development and execution of strategies that elevate customer satisfaction and loyalty.Yêu cầu công việcAt least 2-3 years of experience in the customer experience field.Excellent analytical skills and problem-solving aptitudeAbility to collect, organize, and analyze significant amounts of data with high attention to detailAbility to visualize findings, create meaningful insights, and arrive at actionable recommendationsStrong spoken and written communication skills to collaborate with team members and to explain findings clearly to internal team as well as stakeholdersExperience writing complex queries in SQL or other SQL-based languagesWork proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunitiesSense of ownership, a growth mindset, and the ability to recommend solutions which are scalableSelf-learner and quick to adopt new knowledge and technical skillsEffectively collaborate within a team as well as work independentlyDesirable:Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.)Solid technical/functional knowledge in statistics

MoMo is the market leader in mobile payments in Vietnam, driven by a commitment to enhancing the lives of Vietnamese citizens through technological innovation.Within the MoMo BigData AI department, we prioritize Smart, Efficient, and Excellent execution. We are currently undergoing a major transformation to build a new hybrid data platform spanning multiple cloud vendors (GCP AWS).We are seeking an experienced Data Engineer to help us architect this platform to optimize for both budget control and technological flexibility. You will play a pivotal role in shifting our mindset from "managing data" to creating valuable Data Products that empower our internal consumers.Mô tả công việcWith MoMo's AI-first mission, we are designing and building a self-serve data platform to empower both internal teams and external partners. This platform allocates resources based on users’ needs to support:Ingesting data from diverse sources — either in batch or streaming, using both pull and push mechanismsDeveloping and deploying resilient data pipelines across the data lake, data warehouse, and streaming systemsDelivering high-quality, derived datasets to downstream tools such as BI solutions (e.g., Apache Superset,Looker Data Studio), via multiple delivery methods including APIs, datasets, and streaming dataMonitoring data quality throughout all data pipelines in the platform to ensure high-quality data, resulting in better decision-making, accurate reporting, and reliable machine learning outputsTracking and optimising resource usage for efficiencyAdditionally, we are building Data Management Systems that enable the Data Governance team and data consumers to:Manage the full data lifecycle within the big data platformExplore the MoMo data ecosystem independentlyProvide a single source of truth with high data quality to downstream consumersTrack and manage infrastructure costs across major projects, teams, and departmentsYêu cầu công việcThe MindsetPassion for Data: You dream in SQL ("SELECT COUNT(SHEEP)...") and care deeply about data accuracy.Product Thinking: You view data as a product, focusing on the usability and reliability of what you deliver to stakeholders.The Tech StackStrong Coding Skills: Proficiency in Java/Kotlin (for robust backend services) and Python (for data processing/scripting).Hybrid Cloud Infrastructure: Hands-on experience with GCP. Proficiency in Kubernetes, Docker, and IaC tools like Pulumi or Terraform.Big Data Engines: Deep understanding of computing engines like Spark, Trino, BigQuery, and Clickhouse.Orchestration: Experience building DAGs and workflows in Airflow or Temporal.Data Sources: Familiarity with diverse sources including App Events, CDC from transactional DBs (Oracle, MySQL, MSSQL), and streaming systems (Kafka, PubSub).Soft SkillsStrong problem-solving abilities with a focus on root-cause analysis.Collaborative spirit: You can explain complex infrastructure decisions to non-technical stakeholders.

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 scalable 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 high-impact dashboards to monitor critical KPIs and production health metrics. Develop and optimize data schemas that support high-speed ingestion and complex 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 5 years of experience with two or more of the following: Web Tech, Data/Big Data, Machine Learning, Systems Admin, Networking, Kubernetes. 5 years of experience reading or debugging code in one or more general purpose languages (e.g. Python, Java, Go, C or C++). Ability to communicate in Japanese and English fluently to communicate with external and internal stakeholders. Preferred qualifications: Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing. Experience in data analytics, warehousing, Extract Transform and Load (ETL) development, data science, or other Big Data applications. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working in distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes). Experience working in a fluid environment with cross-collaboration across functions. Knowledge of Web application development/deployment, HTTP/RESTful API troubleshooting, or database design/troubleshooting. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You solve the technical issues to show how our products can make businesses more collaborative. You work with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are important in helping Google grow its cloud business and helping companies around the world innovate.Responsibilities Develop an understanding of Google Cloud's Data Analytics (e.g. BigQuery), AI/ML, and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and diagnosis. Act as a consultant and subject-matter-expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as a part of a team of Engineers/Consultants that globally ensure 24 hour customer support. This may include a need to sometimes work non-standard work hours or shifts. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, and drive production. Work with customers on their production deployment to resolve issues and achieve product readiness and availability. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 7 years of experience in a sales role in the enterprise software or cloud space. Experience selling data analytics or data management technologies to clients. Ability to communicate in Japanese fluently in order to build relationships with local stakeholders. Preferred qualifications: Experience carrying/exceeding business goals in a sales role. Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements. Experience prioritizing and planning business activity and transformation strategies within business cycles aligned to Data and Analytics. Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion. Knowledge of trends, products, and solutions in cloud and Data and Analytics (e.g., BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack. About the jobIn this role, you will help Google grow the Data Analytics business by building and expanding relationships with new and existing customers. You will work with customers to deliver true business value, demonstrate product functionality and provide a comprehensive overview of business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market (GTM) strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions Teams to inform the product solutions roadmap. You will build customers' cloud and Data Analytics strategy and enable digital transformation. You will lead with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive the overall value for Google Cloud.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Build relationships with customers as a subject matter expert and trusted advisor, manage business cycles, identify solution use cases, and influence direction of accounts. Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your territory’s business. Work with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop GTM strategies, drive pipeline and business growth, close agreements, understand the perspective of the customer, and provide prospect and customer experience. Develop analytics solution roadmaps with customers, understanding their requirements on a business and technical level. Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using Google's technologies. 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.