Sr. BIE, GenAI Economics and Analytics

Socket.dev; Seattle (WA); On-site; USD 130,000 - 176,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Alexa for Shopping Analytics team seeks a Sr BIE to own analytics strategy for GenAI-powered shopping experiences. You will partner with senior leaders to deliver high-quality insights that inform executive decisions for the AI shopping assistant, Alexa for Shopping.

You will invent metrics, scale automated analytical workflows, and help shape the product roadmap in a fast-moving GenAI space, balancing ambiguity with rigorous analysis and cross-functional collaboration with product,

Qualifications

• 10+ years of professional or military experience
• 5+ years of SQL experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources
• 1+ years of performing statistical analysis
• 1+ years of developing automated reporting experience
• 5+ years in data roles (Data Analyst/Data Engineer/BI Analyst)
• Bachelor's degree or foreign equivalent in CS/Engineering/Math/Statistics/Economics
• Experience with AWS technologies
• Experience with information retrieval, data science, ML and data mining

Responsibilities

• Build and maintain the reporting layer and knowledge graph powering our in-house analytics agent.
• Partner with product teams to define and maintain KPIs behind go/no-go decisions.
• Invent, operationalize, and publish scalable metrics and dashboards for data-driven product growth and executive decisions.
• Partner with Product and Engineering to improve logging and modeling of customer engagement data.

Skills

SQL

Data analysis

Automated reporting

Dashboards

Big data processing

Stakeholder management

Education

Bachelor's degree in CS/Engineering/Math

Tools

AWS

Knowledge graph

Job description

The Alexa for Shopping (formerly Rufus) Analytics team is seeking a customer-obsessed Sr BIE to own and drive analytics strategy for our GenAI-powered Shopping experiences. You will partner closely with senior leaders to deliver high-quality insights that inform executive decision-making for the AI shopping assistant, Alexa for Shopping. The successful candidate brings strong attention to detail, excellent written and verbal communication, and the ability to influence across organizations.

In this role you will invent and scale metrics that measure customer adoption and habituation, and build agentic, automated analytical workflows that enable fast repeatable deep dives. A BIE typically wears many hats, but this role weights the science side of the craft more heavily. You will help shape the product roadmap and investment decisions in a fast-moving GenAI space.

The ideal candidate operates effectively in ambiguity, exercises strong business judgment on high-impact one-way-door decisions, and continuously raises the bar for analytical rigor and operational excellence. You will work cross-functionally with product, science, engineering and economics partners to deliver results for customers.

Key job responsibilities

• Build and maintain the reporting layer and knowledge graph that power our in-house conversational analytics agent.
• Partner with product teams to define and maintain the KPIs behind go/no-go product decisions.
• Invent, operationalize and publish scalable metrics and dashboards that surface actionable insights, enabling data-driven product growth and executive decision-making.
• Partner closely with Product and Engineering to raise the bar on how we log and model customer engagement data.

About the team

The Alexa for shopping Analytics team focuses on understanding how GenAI-powered shopping tools are transforming customer behavior across the shopping lifecycle - from inspiration and problem-solving, to product research, selection, purchase, and post-purchase support. We build the foundational measurement frameworks that enable teams to evaluate performance, identify what AI experiences resonate most with customers, and uncover opportunities for improvement. Our work directly influences customer-centric product roadmap decisions and helps scale impactful, high-quality AI shopping experiences.

Basic Qualifications

• 10+ years of professional or military experience
• 5+ years of SQL experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting 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 with AWS technologies
• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership

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