SCOT's Regional 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.
The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution.
We expect this candidate to raise the bar on any of the following categories:
Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics.
Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.
Key job responsibilitiesAnalyze and synthesize large data streams across multiple systems/inputs.
Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact selection decisions both nationally and regionally
Develop business insights basis data extraction, data analytics, trend deduction & Pattern recognition.
Present these business insights to senior management/executives.
Create advanced dashboard to help a large group of teams to consume insights make changes to business process and track progress.
Build analytical models that can help improve business outcomes at scale enhancing current system abilities.About The Team
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon's Supply Chain Optimization Technology (SCOT) organization is for you.
At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members.
(Learn more about SCOT:)
Basic Qualifications
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
1+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
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
Bachelor's degree or equivalent in Business, Data Science, Public Administration, Finance, Engineering, Human Resources or a related field
Preferred Qualifications
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
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 for more information.
If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Company - Amazon Japan G.K. - A43
Job ID:
A3179490
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