Description Emerging Marketplaces Analytics team builds Analytics solutions that drive customer growth across all EMs for Amazon. These solutions include building and scaling complex analytical frameworks, mining data-driven insights through comprehensive dashboards, using ML/AI to address business problems, and leading Analytics for key strategic review meetings with leadership. Key job responsibilities Key job responsibilities - Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership - Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities - Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems - Simplify and automate reporting, audits and other data-driven activities - Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights - Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation - Learn new technology and techniques to meaningfully support internal stakeholders and process innovation About the team We are the Emerging Prime, Lifecycle and XCM (PLX) EMXO team that builds & orchestrates inputs towards Customer Growth and Engagement for our Stores across ten locales. We do this through: (i) Crafting EM-specific frameworks where none exist to guide inputs, prioritization and investment decisions; (ii) Building foundational tech, tools & capabilities to enable inputs at scale, sharper targeting of key customer cohorts, driving down Cost-To-Serve (CTS) through core builds; and (iii) Orchestrating EM-focused builds by influencing partner WW teams and x-EM experiments across the customer Lifecycle Basic Qualifications - 8+ years of professional or military experience - 6+ 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 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 Preferred Qualifications - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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.