Sr. Business Intel Engineer, NA Sales & Marketing

The Devices Amazon.com 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.

In this role, you will own the intelligence layer that connects customer signals across the full funnel, enabling real-time decision-making and scalable self-service insights for a high-visibility, high-impact surface.

The ideal candidate will draw upon advanced analytical, problem-solving skills, and a passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

Key job responsibilities
This role will be responsible for providing regular analysis and insight to marketing channel and Devices product line leaders. This role will be expected to proactively identify trends and facilitate analysis to identify issues and that impact Devices and Amazon wide traffic. The ideal candidate will have an extensive background in running SQL queries, performing deep-dives and generating actionable insights. Other responsibilities include:

Identifying 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 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, and 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.

Basic Qualifications

- 10+ years of professional or military experience
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- 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 ability to translate data into actionable insights
- Demonstrated organizational and prioritization abilities
- Ability to navigate ambiguity in a fast-paced environment

Preferred Qualifications

- 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 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 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually