Business Intelligence Engineer, Supply Chain Optimization Technologies - International (JP) , SCOT International - JP

SCOT's International team in Japan is seeking an experience and motivated Business Intelligence Engineer who enjoys the challenge of diving into complex problems in the areas of assortment optimization and helping our senior executives make high judgement decisions involving profitability, customer experience, and scalable execution.

This focus will be on scaling automated actions based on underlying economics and customer demand signals, building ground-up solutions that will provide executive insights to Retail category leaders on the top assortment opportunities with financial impact and drive international expansion for JP-first solutions

At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
• Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
• Experience using Python scripting to process data for modeling

• Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
• Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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