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Senior Business Intelligence Engineer, Japan Consumer Innovation (JCI), Science and Data

Amazon

Amazon

Operations, Data Science
Tokyo, Japan
Posted on Jun 6, 2025

DESCRIPTION

Are you passionate about working with data, driven to dive deep and automation, and eager to make broad business impact? Are you interested in building business intelligence solutions from the ground up to drive strategic direction as a future team leader?

The Japan Consumer Innovation organization is looking for an experienced, driven, and customer-centric Business Intelligence Engineer to become a key member of one of our central BI teams. You will play a key role to ramp up support for our service Amazon Customer Insights (ACI) with data and business intelligence solutions that will step change customer and vendor experiences in the rapidly evolving e-commerce business. An ideal candidate will be logical, innovative, flexible, relentless in ensuring data quality and reliability, is a life-long learner and will love to work collaboratively with cross-functional business teams empowering them to provide deep insights to drive action and success for the entire organization.

About Amazon Customer Insights (ACI): ACI is a transformative market research program that enables vendors to conduct customized research surveys targeting actual Amazon customers. ACI differentiates itself through unique Amazon behavioral targeting capabilities, sophisticated survey features, and robust analysis that helps vendors make data-driven decisions about their products and strategies on Amazon.

Key job responsibilities
Your key responsibilities include:
- Be part of a team of Business Intelligence Engineers to support one of our high impact products/programs business areas.
- Build and deliver high quality data architecture in partnership with data engineers to support business analyst, data scientists, and customer reporting and analysis needs.
- Own the design and development of metrics, reports, and dashboards to drive key business decisions across multiple programs in partnership with product managers and business leaders.
- Establish scalable, efficient, automated processes for large scale data analyses.
- Continually improve ongoing reporting and analysis processes, while automating and simplifying scalable self-service support for customers.
- Maintain data integrity, perform QA Audits and diligently troubleshoot issues.
- Recommend improvements to backend data sources for increased accuracy and simplicity.
- Drive partnerships with technical teams and business stakeholders across Amazon in Japan and worldwide.
- Learn and understand a broad range of Amazon’s data resources and tools and know how, when, and which to use and which not to use.