Sr. Business Intel Engineer, NA Sales & Marketing

## Responsibilities - Provide regular analysis and insight to marketing channel and Devices product line leaders. - Proactively identify trends and facilitate analysis to identify issues impacting Devices and Amazon-wide traffic. - Identify customer signals across the full funnel, translating behavioral data into actionable insights that drive business results and inform real-time campaign decisions. - Architect and develop an AI-native analytics and reporting model, leveraging both traditional dashboards and AI agents to enable scalable self-service business intelligence and reduce time-to-insight. - Establish a unified intelligence measurement layer that connects customer touchpoints across channels, enabling a cohesive view of the customer journey from awareness through conversion. - Define, govern, and evolve metric standards and KPI frameworks to ensure consistent measurement across Homepage surfaces and partner teams. - Design, execute, and analyze complex experiments to measure causal impact, inform strategy, and optimize program performance. - Build ETL pipelines, statistical models, and machine learning solutions using large datasets to uncover trends, patterns, and opportunities across the customer lifecycle. - Collaborate with product managers, engineers, and business stakeholders to align the analytics roadmap with strategic goals and objectives. - Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress against targets. ## Requirements - 10+ years of professional or military experience. - 5+ years of experience as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation. - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field. - 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 in designing and implementing custom reporting systems using automation tools. - Experience communicating and presenting to senior leadership. - Track record of developing and monitoring KPIs to drive business decisions. - Strong analytical skills with the ability to translate data into actionable insights. - Demonstrated organizational and prioritization abilities. - Ability to navigate ambiguity in a fast-paced environment. ## Nice to Have - Experience working directly with business stakeholders to translate between data and business needs. - Experience managing, analyzing, and communicating results to senior leadership. - Master's degree in finance, accounting, business, economics, engineering, analytics, mathematics, statistics, or a related technical or quantitative field. - Knowledge of Python or R or other scripting languages. - Experience in statistics methodology, applications to business problems, or big data. ## Benefits - Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. - 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.