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
- 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
- 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
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.