Business Intelligence Engineer, Amazon Business Japan

## Responsibilities 1) Design and deliver BI solutions in partnership with stakeholders: - Partner with stakeholders to deeply understand business challenges and design optimal BI solutions - Design and develop self-service dashboards and reports that enable data-driven decision-making - Establish and maintain standards for engineering excellence (correctness, efficiency) and operational excellence (quality, reliability) 2) Deliver strategic insights through large-scale data analysis: - Integrate and analyze large-scale datasets to uncover trends and identify growth opportunities - Apply statistical methods and data mining techniques to derive actionable insights for complex business problems - Communicate findings clearly to senior management, driving strategic decisions and actions 3) Improve productivity through GenAI and automation: - Identify repetitive manual tasks and design automation solutions combining scripting (Python) with GenAI capabilities - Evaluate and adopt new technologies to continuously improve team productivity and analytical quality ## Requirements - 3+ years of SQL, ETL or Oracle experience - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience using Python scripting to process data for modeling - Experience leveraging GenAI/LLM tools (e.g., Amazon Q, GitHub Copilot, Claude, ChatGPT) to improve productivity in data analysis, coding, or reporting workflows - Business level Japanese both in verbal and written - Business level English both in verbal and written ## Nice to Have - Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field - Experience working directly with business stakeholders to translate between data and business needs - Experience designing and implementing GenAI-powered solutions (e.g., RAG-based applications, AI agents, automated insight generation, LLM-integrated data pipelines) that drive measurable business impact - Experience leading GenAI/AI adoption initiatives within an organization, including use case identification, PoC development, guardrail design, and scaling best practices - Experience with semantic layers, MCP (Model Context Protocol), or similar frameworks that enable AI agent access to structured data ## Benefits Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.