Business Intelligence Engineer, JP Retail Science

Amazon is a global technology and e-commerce leader that innovates on behalf of customers.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, JP Retail Science

Amazon Japan G.K. is seeking a Business Intelligence Engineer to join their JP Science and Data team, focusing on developing data engineering infrastructure and solutions that scale across Amazon's largest vendors. This role combines technical expertise with business impact, working on paid services that will shape the future of Amazon's vendor partnerships.

The position offers an exciting opportunity to work with cutting-edge technologies and massive datasets, applying advanced analytics and machine learning models to solve real business challenges. You'll collaborate with product managers, scientists, and engineers worldwide on projects involving causal inference, representation learning, anomaly detection, forecasting, and LLMs.

As a Business Intelligence Engineer, you'll be responsible for designing and implementing robust data pipelines, working with terabytes of data, and translating complex vendor problems into technical solutions. The role requires strong technical skills in data engineering, analytics, and programming, particularly with tools like SQL, Python, and various data visualization platforms.

The team emphasizes continuous learning and collaboration, providing opportunities to grow expertise and stay current with state-of-the-art technologies. You'll be part of a diverse team aiming to become the primary science team for vendor solutions in Amazon worldwide.

This is an ideal opportunity for someone who combines technical depth in data engineering with a passion for delivering business impact through data-driven insights. The role offers exposure to various projects and technologies, ensuring continuous learning and growth while working on solutions that directly impact Amazon's largest vendor partnerships.

Last updated 6 hours ago

Responsibilities For Business Intelligence Engineer, JP Retail Science

  • Define requirements and design for scalable deployment of solutions through paid services using AWS and CDK
  • Identify appropriate metrics and feature sets, build/maintain automated pipelines for extraction
  • Work with terabytes of data using Amazon systems and tools
  • Apply models developed by science team to vendor use cases
  • Maintain internal team BI infrastructure and solutions
  • Prepare materials for vendor presentations and convert vendor problems into technical requirements

Requirements For Business Intelligence Engineer, JP Retail Science

Python
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

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