Description Are you passionate about leveraging data analytics and quantitative analysis skills to drive worldwide business impact? Are you excited about developing innovative solutions that help sellers succeed while optimizing Amazon's global operations? If so, this role could be perfect for you. The CN GS NBS AB team is responsible for recruiting, driving growth and development of sellers for Amazon Business in the Chinese market. Partnering with business, product, and engineering teams, we catalyze seller growth with comprehensive data analysis, unique insights, and actionable recommendations. We're seeking a Business Intelligence Engineer to join our dynamic team focused on seller analytics and operational optimization. This role combines strategic analytics capabilities with practical business applications to drive seller growth and operational excellence across Amazon's global markets. Key job responsibilities · Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. · Apply Statistical and Machine Learning methods to specific business problems and data. · Create global standard metrics across regions and perform benchmark analysis. · Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. · Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. · Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. · Develop efficient data querying and modeling infrastructure. · Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. · Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models. Basic Qualifications - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Good written, verbal, listening and communication skills in English. Preferred Qualifications - Master Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics with relevant experience. - · Experience working with data visualization tools and creating data visualization concepts, such as Tableau or equivalent. - · Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining. - · Experience of statistical analysis and tools such as SAS, R, or equivalent. - · Fluency in a scripting or computing language. (e.g. Python, C++, Java, etc.) - · Experience in e-commerce with AI technology as a plus. - · Natural curiosity and desire to learn. 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.