Description The Japan pricing team is seeking a highly analytical Senior Business Intelligence Engineer to help develop/build data solutions, generate automatic insights and leverage anomaly detection tools/technologies which will help to deliver the best prices to our customers. Data analysis is at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. This position requires high judgment, excellent analytical abilities, a creative mind; it also offers broad exposure to various business, operational, financial, and technical teams across Amazon. 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. Key job responsibilities - Identify opportunities and key criteria to drive analytical reporting, models and business strategy - Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership. - Leverage LLMs to generate Insights and drive growth discussions with Product teams - Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting. - Building simple and effective infrastructure tools with scalability top of mind. - Simplifying and automating reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders. - Improving back-end data sources for increased accuracy and simplicity. - Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Supporting business with time-critical tactical data analyses. - Understanding a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. About the team Japan Consumer Innovationの詳細はこちら: https://www.amazon.co.jp/b?ie=UTF8&node=6909359051 Learn more about Japan Consumer Innovation: https://www.amazon.co.jp/b?ie=UTF8&node=6909359051 Japan Consumer Innovationの社員インタビューはこちら: https://www.amazon.co.jp/b?ie=UTF8&node=21174376051 Employee Interview for Japan Consumer Innovation: https://www.amazon.co.jp/b?ie=UTF8&node=21174376051 Basic Qualifications - 7+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications - Master's degree in statistics, data science, or an equivalent quantitative field - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - Familiarity with AWS data solutions such as EMR, Athena, S3, and Redshift. - Fluency in a scripting or computing language (e.g. Python, Scala, etc.). - Experience working in a large scale high-growth technology company is highly beneficial. - Business level Japanese (written and verbal). 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.