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Business Intelligence Engineer, Supply Chain Optimization Technologies
Business Intelligence Engineer, Supply Chain Optimization Technologies-June 2024
Tokyo
Jun 29, 2026
ABOUT AMAZON
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About Business Intelligence Engineer, Supply Chain Optimization Technologies

  Description

  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, the Amazon Global Supply Chain Optimization Technology organization is for you.

  Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot

  SCOT's Regional team in Japan is seeking highly motivated individuals with exceptional data analytics skills and a passion for tackling intricate challenges. In this role, you will utilize your expertise to inform impactful business decisions that will enhance customer experience and contribute to long-term free cash flow growth. You will gain a comprehensive understanding of Amazon's systems and supply chain processes through collaboration with diverse teams across product, retail categories, finance, and operations. Locations considered for this role include either Tokyo,Japan or Bengaluru,India.

  In this role you will…

  Dive deep to create insights on how well Amazon is satisfying customer expectation as it relates to product availability and inventory levels

  Drive business changes through data insights to improve a wide range of internal products that impact planning, buying and sourcing.

  Develop improvements and invent new ways to look at data / trends via data and an internal worldwide customer portal.

  Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair.

  Explore/analyze data and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers

  This role will likely be a good fit for you if you currently…

  Use business analyses to propose innovative and profitable business initiatives to senior management/executives.

  Analyze and synthesize large data streams across multiple inputs.

  Find and create ways to measure the customer experience to drive business outcomes.

  Are curious about identifying patterns in data and how they relate to the business outcomes

  Our diversity, measured by thought, gender and culture, is paramount to our ability to meet the evolving needs of our customers.

  Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

  We are open to hiring candidates to work out of one of the following locations:

  Tokyo, 13, JPN

  Basic Qualifications

  3+ 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 in data mining/analysis, and working extensively in large scale databases and data warehouses (3+ years)

  Excellent written and verbal communication skills with the ability to present complex information in a clear and concise manner to stakeholders.

  Bachelors degree in mathematical, statistical, analytical, supply chain or data oriented 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

  Ability to communicate in Japanese (preferred not mandatory)

  Please check the website below for measures to eliminate unwanted second-hand smoking in each facility:

  https://www.amazon.jobs/en/landing_pages/passivesmoking

  就業の場所における受動喫煙を防止するための措置に関する事項については、下記リンク先をご覧ください。

  https://www.amazon.jobs/jp/landing_pages/passivesmoking

  The salary information can be provided individually prior to the 1st interview

  賃金に関する条件は、1次面接の前に個別にご案内することができます

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