Do you want to reinvent shopping on Amazon? With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse. It's time to make purchasing with the help of Alexa trivially easy, and delight customers at the level of a knowledgeable, personal shopping assistant that helps them save time and money. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations.

As a Senior Business Intelligence Engineer and Technical Lead for the Alexa Shopping Insights & Analytics Team, you will drive the vision to empower Alexa Shopping teams by (i) providing BI capabilities that support measuring, understanding and assessing key inputs / outputs related to business decisions and (ii) uncovering actionable insights to shape product roadmaps.

In this leadership role you will:

- Serve as a technical leader and mentor for junior Business Intelligence Engineers, providing guidance, code reviews, and fostering their professional development
- Drive strategic alignment between analytics initiatives and broader organizational goals, partnering with senior leadership to ensure data-driven decision making
- Work closely with Alexa Shopping Product and Engineering leadership to understand their underlying needs and translate them into comprehensive analytics strategies
- Lead cross-feature analysis initiatives to uncover holistic insights about customer behavior and feature interconnections across Alexa Shopping.
- Establish and maintain strong partnerships with Data Engineering to ensure high quality instrumentation that enables granular analysis at scale
- Build scalable solutions using analytics tools and languages (notably SQL) to provide data and KPIs through streamlined reporting and visualization tools such as Quicksight
- Propose and prioritize changes to reporting systems and create additional metrics based on program changes and customer requirements
- Drive complex quantitative analyses across multiple features and teams to uncover strategic opportunities and present executive-level business recommendations
- Lead A/B testing strategies, ensuring statistical significance and educating stakeholders on proper results interpretation
- Collaborate with finance and cross-functional partners as a leader of ongoing analytical support
- Communicate complex analytical findings effectively to diverse audiences, from technical teams to executive stakeholders

The ideal candidate will possess:

- Strong verbal and written communication skills with the ability to influence senior stakeholders
- Strong strategic thinking capabilities and experience aligning analytics with business strategy
- Proven experience leading cross-functional analytics initiatives and mentoring junior team members
- Deep understanding of how to derive insights from cross-feature analysis and customer behavior patterns
- Track record of supporting strategic initiatives across multiple teams and functions