Business Intelligence Engineer , Customer Experience and Business Trends
Seattle, OR - USA
Job Summary
This role anchors our Intelligence Engine initiative: the layer that makes BEAMs data and analytical depth pluggable into agent-based surfaces. Rather than building one-off dashboards youll build a curated data catalog and reusable analytical assets then expose them to LLM agents through MCP (Model Context Protocol) servers and skills so that stakeholders can ask questions in natural language and get trustworthy deterministic answers grounded in BEAMs data.
Were looking for a strong BIE who is genuinely excited about the agentic/GenAI shift and understands the mechanics behind it not just the buzzwords. You should be comfortable designing the data and tooling that make an LLM agent reliable: clean metric stores well-defined tools/skills MCP interfaces and guardrails that keep the agent from hallucinating numbers.
Key job responsibilities
- Build and maintain the curated data catalog and reusable foundation/metric tables that power BEAMs Intelligence Engine.
- Design and implement MCP servers and skills that expose BEAM data and analyses to LLM agents for natural-language querying (Text-to-SQL metric lookup retrieval).
- Build deterministic query and metric layers so agents cite and route to real data rather than estimating including refusal/guardrail behavior for out-of-coverage requests.
- Develop ETL pipelines and data models (SQL Python) that turn raw internal third-party data into analysis-ready assets.
- Partner with data scientists economists and product managers to translate recurring analytical needs into reusable self-service capabilities.
- Instrument evaluation and observability so we can measure and improve agent answer quality over time.
About the team
CXBT is a group of diverse functions dedicated to understanding improving and influencing customer experience globally across all of Amazon. We are builders who develop products services and data-driven approaches that shape offerings for nearly every Amazon business and customer type consumers developers sellers brands employees investors streamers and gamers. We work backwards from customer needs combine technical and non-technical methods and track industry and business trends. Our roles span Product Managers Data Scientists Economists Business Intelligence Engineers Data Engine Applied Scentist and Product Manager.
- 5 years of using SQL ETL (Extract Transform Load) or Oracle experience
- 5 years of performing statistical analysis experience
- 5 years of developing automated reporting experience
- 3 years of processing large multi-dimensional datasets from multiple sources experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics Statistics Economics or a related field
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Hands-on experience building LLM agents and an understanding of the underlying mechanics MCP (Model Context Protocol) tools/skills retrieval/RAG and prompt design.
- Experience exposing data to agents via MCP servers or building Text-to-SQL / natural-language query interfaces.
- Understanding of how to make LLM outputs reliable: deterministic query layers grounding evaluation and guardrails against hallucinated numbers.
- Experience with AWS data services (Redshift S3 Athena Glue) and modern data-modeling patterns.
- Familiarity with retail/e-commerce or benchmarking data and metrics.
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 for more information. If the country/region youre applying in isnt 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 VA Arlington - 99500.00 - 160000.00 USD annually
USA WA Seattle - 99500.00 - 160000.00 USD annually
Required Experience:
IC
About Company
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