谷歌Business Intern, 2026 (English)
任职要求
基本资格 • Currently enrolled in a Bachelor's or Master's program. • Ability to communicate in English fluently as this is a customer-facing role that requires interactions in English with local stakeholders. 优先条件 • Knowledge of the internet and Google’s technology and business.…
工作职责
• Job responsibilities and detailed projects will be determined based on educational background, interests and skills.
- Conduct in-depth Product related data analysis to support business needs; - Support Product Quality team AI Agent use case studies and prototype development; - Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics; - Learn Amazon Data infrastructure and tools, extract and integrate data from Datawarehouse for holistic analysis; - Work with cross function stakeholders, provide data supports, business updates and solutions.
- Build data pipelines and integrate data from multiple sources; - Analyze data with scientific methodologies. Identify and quantify opportunities in product and packaging quality, manufacturing efficiency and consistency; - Design and develop AI agents to automate data analysis, opportunity identification, improvement action tacking and effectivenss evaluation; - 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, business metrics and evolving business needs.
- 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.
• Learn Amazon Data infrastructure and tools, extract and integrate data from Datawarehouse for holistic analysis; • Work with cross function stakeholders, provide data supports, business updates and solutions; • Support quality assurance processes/testings and contribute to continuous improvement initiatives.