Sr. Business Intel Engineer, NA Sales & Marketing

Description
The Devices  Homepage team delivers personalized experiences across XB+ annual impressions for 16 product line teams to drive discovery, engagement, and conversion for hundreds of millions of customers. We are seeking an experienced Sr. Business Intelligence Engineer with broad technical skills to develop in‑depth business understanding, perform deep‑dives, develop data visualizations and build automation solutions that drive business decision making and process improvement.

This role will build the analytics foundation that powers our next‑generation, AI‑native measurement capabilities.

Key Job Responsibilities

• Own the intelligence layer that connects customer signals across the full funnel, enabling real‑time decision‑making and scalable self‑service insights.
• Provide regular analysis and insight to marketing channel and Devices product line leaders, proactively identifying trends and facilitating analysis.
• 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.

About The Team

Amazon Devices—the team behind the best‑selling Amazon Echo, Kindle E‐Reader, Fire Tablet, Fire TV, Ring, Blink, and eero Home Security product lines. As part of the cross‑devices marketing group, we operate in one of the most diverse businesses at Amazon, empowered to explore new ideas, channels, and tools, setting the stage for how we’ll do business tomorrow.

• 10+ years of professional or military experience.
• 5+ years as a Data Analyst, Data Engineer, Business Intelligence Analyst, or related occupation.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or 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 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 ability to translate data into actionable insights.
• Demonstrated organizational and prioritization abilities.
• Ability to navigate ambiguity in a fast‑paced environment.

• 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 related technical or quantitative field.
• Knowledge of Python or R or other scripting language.
• Experience in statistics methodology, applications to business problems or big data.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran…