亚马逊Business Analyst Intern (Sourcing Team，深圳，2026实习)
任职要求
基本任职资格 - Speak, write, and read fluently in English - Speak, write, and read fluently in Mandarin - Graduate between Oct 2026 to Sept 2027, currently working towards a Bachelors (BS) or Masters (MS) in Computer Science, Data Science, Business Analytics, Information Management, or related technical field - Proficient in SQL for data querying, analysis, and manipulation across large datasets - Knowledge of Python and experience using AI coding assistants (e.g., Claude Code, Cursor, Cline, GitHub Copilot, Q) to generate, understand, and debug code - Strong prompt engineering skills with experience using LLM tools (ChatGPT, Claude, or similar) - High attention to detail, comfortable with "hands-on" task management, and proven ability to manage multiple competing priorities - Work 4 to 5 days per week for at least 6 months, physically in Shenzhen 优先任职资格 - Prior internship experience in business analytics, AI/ML projects, software development, or data engineering - Experience with AI agent frameworks, workflow automa…
工作职责
- Design and develop AI agents that automate workflows across product launch readiness, catalog quality management, supply chain visibility, and post-launch performance optimization - Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics - Develop conversational AI assistant and detection systems that help business teams identify issues, prioritize actions, and improve operational efficiency at scale - Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact - Continuously optimize existing automation solutions based on user feedback, operational metrics, and evolving business requirements A day in the life You'll start your day analyzing workflows and data to identify automation opportunities. You'll spend time building and testing AI agents using prompt engineering and coding tools, designing data pipelines, collaborating with business teams to refine requirements, and measuring the impact of your solutions on key metrics like launch readiness, operational efficiency, issue resolution speed, and time savings. You'll present findings to stakeholders and iterate on solutions based on feedback.
- Design and develop AI agents that automate workflows across product launch readiness, catalog quality management, supply chain visibility, and post-launch performance optimization - Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics - Develop conversational AI assistant and detection systems that help business teams identify issues, prioritize actions, and improve operational efficiency at scale - Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact - Continuously optimize existing automation solutions based on user feedback, operational metrics, and evolving business requirements A day in the life You'll start your day analyzing workflows and data to identify automation opportunities. You'll spend time building and testing AI agents using prompt engineering and coding tools, designing data pipelines, collaborating with business teams to refine requirements, and measuring the impact of your solutions on key metrics like launch readiness, operational efficiency, issue resolution speed, and time savings. You'll present findings to stakeholders and iterate on solutions based on feedback.
- Design and develop AI agents that automate workflows across product launch readiness, catalog quality management, supply chain visibility, and post-launch performance optimization - Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics - Develop conversational AI assistant and detection systems that help business teams identify issues, prioritize actions, and improve operational efficiency at scale - Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact - Continuously optimize existing automation solutions based on user feedback, operational metrics, and evolving business requirements A day in the life You'll start your day analyzing workflows and data to identify automation opportunities. You'll spend time building and testing AI agents using prompt engineering and coding tools, designing data pipelines, collaborating with business teams to refine requirements, and measuring the impact of your solutions on key metrics like launch readiness, operational efficiency, issue resolution speed, and time savings. You'll present findings to stakeholders and iterate on solutions based on feedback.
• Be a subject matter expert on databases, particularly on Relational Databases, able to discuss with customer on database modelling, migration, performance testing and day to day operations • Have wide ranging experience with open source and commercial databases such as MySQL, PostgreSQL, Oracle & SQL Server…etc • Be familiar with major cloud service providers in using it for deployment of workloads (AWS, Alicloud, GCP, Azure…etc) • Be a technical expert on all aspects of OceanBase (compatibility assessment, deployment, administration, development, migration…etc) • Facilitate introduction, discussion and demonstration of OceanBase’s technology, vision and value proposition either via individual or group sessions with customers • Engage and discover prospects’ pain points, business/technical challenges and identify how OceanBase can add value • Run Proof of Concept projects with customers to validate OceanBase’s capabilities Support post sale OceanBase implementation with OceanBase delivery team • Maintain deep understanding of competitive as well as complementary technologies and how to position OceanBase DB in relation to them • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve OceanBase product and position in the market
Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation for everyone and every business to thrive. In close collaboration with partners, we support merchants of all sizes worldwide to realize their growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking for Java Software Engineers for our Malaysia Tech Center, work on end-to-end solutions for cross-border payments for our global merchants and globalization business. Key Responsibilities: 1. Design solutions involving integration with multiple systems and services. 2. Develop high volume, high performance, low latency and reliable mission critical applications. 3. Write maintainable, robust, and testable code. 4. Perform code and test case review. 5. Implement processes, solutions or tools to improve software delivery and quality. 6. Able to adopt latest software development trends and industry best practices.