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 ASE team is responsible for recruiting, driving growth and development of sellers in the Chinese market. Partnering with business, product, and engineering teams, we catalyze seller growth with comprehensive data analysis levering AI and data skills, to deliver unique insights, and actionable recommendations. We're seeking a Sr. Business Intelligence Engineer with rich experience on both technical and technical program management skill and to join our dynamic team focused on seller intelligence, 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

• 10+ 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 with AWS technologies
• 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
• Master's degree in statistics, data science, or an equivalent quantitative field
• Lead and drive technical projects from inception to completion, including project scoping, resource planning, and stakeholder management
• Manage end-to-end analytics projects, from requirements gathering to solution delivery and implementation

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Lead small teams (3-5 people) to deliver complex data analytics initiatives

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.