Senior Business Intelligence Engineer, JP Retail Science

- 5+ 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
- 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

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We are seeking a Senior Business Intelligence Engineer to lead the development of scalable analytics solutions that power our consulting engagements with Amazon's largest partners. In this role, you will architect and implement robust BI frameworks and automated reporting platforms that enable our consulting teams to deliver transformative insights and shape vendor strategy across Japan and worldwide.

You will collaborate closely with our consultants to understand business requirements and translate them into technical solutions that scale. You'll also partner with our scientists to innovate and develop novel analytics approaches that can be operationalized across our vendor base. Working with other BI engineers, you will develop standardized yet flexible frameworks and reusable components that allow rapid deployment of customized analytics solutions across hundreds of vendors. As the technical owner of our analytics capabilities, you will drive the roadmap for future development, shaping how we serve customers and where we invest in future capabilities.

The ideal candidate combines deep technical expertise in BI implementation with strong business acumen and stakeholder management skills. Experience designing and implementing enterprise-scale BI solutions, building automated reporting frameworks, and leading technical roadmaps is essential. This role offers the opportunity to work on challenging projects at the intersection of technology and business strategy, directly impacting Amazon's largest vendor partnerships through data-driven insights. You will help define the future of our analytics capabilities while enabling our consulting teams to deliver distinctive results that "only Amazon" can provide.


Key job responsibilities
The Sr. BIE is accountable for:
(1) Architecting and implementing scalable BI frameworks and automated reporting solutions that enable consulting teams to deliver insights across multiple vendor engagements
(2) Working closely with consultants to translate business requirements into technical solutions, while partnering with scientists to innovate on analytics approaches and operationalize insights
(3) Developing and maintaining automated data pipelines and core BI infrastructure using Amazon's analytics stack to process large-scale vendor data effectively
(4) Leading the technical roadmap for analytics capabilities, including designing reusable components and tools that allow consultants to independently customize and deploy solutions


About the team
In this position, you will be part of the JP Science and Data team, consisting of scientists, business intelligence engineers, data engineers, and machine learning engineers, collaborating with Product Managers and Software Developers worldwide. Our current projects touch on the areas of causal inference, representation learning, anomaly detection, forecasting, LLMs and more. As part of working on Paid Services, you will be exposed to all other projects the team works on: we believe that collaboration is paramount, and working in isolation does not lead to a happy team.

We place strong emphasis on continuous learning through internal mechanisms for our team members to keep on growing their expertise and keep up with the state of the art. Our goal is to be primary science team for vendor solutions in Amazon, worldwide.