Tokyo, JPN
3 days ago
Senior Business Intelligence Engineer, JP Supply Chain Optimization Technologies (SCOT)
Description Are you excited by being able to have Amazon deliver items to your front door within hours? Being able to pick up your groceries already bagged up, with everything you want in-stock? Are you fascinated by Amazon’s ability to combine your online shopping into fewer boxes and shipments? All of these amazing customer experiences are possible because of Inventory Placement – we get the right inventory to the right place, at the right time! SCOT's Regional team in Japan is seeking highly motivated individuals with exceptional data analytics skills and a passion for tackling intricate challenges related to inventory placement. 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. You will also mentor and guide other BIEs on the team, and provide technical leadership on analytics and problem solving. As part of the team you’ll work across systems that determine optimal Inventory, Placement and Assignment. You will be directly responsible for ensuring the integrity and efficiency of our system decisions, through quantitative analysis, deep dives, and partnership with your counterparts in Product Management and Software Development. 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. Basic Qualifications - 7+ years of professional or military experience - 5+ 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 using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, 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 - 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 working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - MBA or advanced degree in mathematical, statistical, or data oriented field. - Experience in E-commerce and / or Supply chain management - Familiarity with the design and operation of complex planning systems and processes - Ability to communicate in Japanese (preferred not mandatory) 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.
Confirm your E-mail: Send Email