Sr. Business Intel Engineer, NA Sales & Marketing

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.

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 Devicesthe 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 well do business tomorrow.

- 10 years of professional or military experience
- 5 years of as a Data Analyst Data Engineer Business Intelligence Analyst or a related occupation experience
- Bachelors 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

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
- Masters 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.

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