Senior Business Intelligence Engineer, Devices Demand Science Optimization
Amazon.com Services LLC•2h ago
United StatesOnsite$130.4K–$176.3KFull-timeSenior Level10+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Business AnalystDemand PlannerHr Business Partner
- We're looking for a Senior Business Intelligence Engineer (BIE) to build AI-native data products for Amazon Devices. You'll architect the semantic and contextual layers that make our business data machine-readable, designing MCP servers, tool schemas
- retrieval pipelines that let AI agents reason over sales, inventory
- demand planning data autonomously. You'll also own the underlying core tables and pipelines that feed both human dashboards and agent workflows. This role sits at the intersection of data engineering, applied AI
- analytics product development. You'll define how machines understand and act on our business data
- scale that intelligence across multiple BI teams. Key job responsibilities - Architect and maintain production data pipelines (Iceberg, Redshift, Athena) that serve as the single source of truth for Devices sales, inventory, pricing
- demand planning metrics. - Design and build MCP servers and semantic layers that expose core tables, metrics
- business logic to AI agents, including schema documentation, tool definitions
- retrieval-augmented context. - Develop AI-powered automation for recurring business workflows: WBR narratives, flash reports, executive summaries, anomaly callouts
- forecast commentary using LLMs and agentic patterns. - Build and maintain QuickSight dashboards for self-service analytics while progressively shifting routine queries to agent-driven interfaces. - Implement data quality frameworks: automated validation, drift detection, monitoring
- alerting. Ensure reliability for both human consumers and AI systems. - Design pipeline orchestration across multiple systems and schedules, optimizing for freshness, cost
- downstream dependency management. - Partner with demand planning, forecasting, finance
- inventory teams to translate business requirements into well-scoped, AI-augmented data solutions. - Evaluate and integrate emerging AI/ML capabilities (RAG, function calling, multi-agent systems) into the BI stack, establishing patterns other teams can adopt. About the team We build the data infrastructure and analytics that powers decision making across demand planning, forecasting, sales
- inventory for Amazon Devices globally. Our core tables serve as the single source of truth for metrics used in leadership reviews, business planning cycles (OP1, OP2, QxG)
- High Velocity Events like Prime Day. We are actively building AI enabled tools, including chat agents and automated reporting
- migrating our reporting to Quick. Our team values ownership, quality
- thinking big. We move fast, ship real products
- work closely with PL leaders, finance, science
- engineering teams to deliver insights that matter.
- 10+ years of professional or military experience - 7+ years of SQL, ETL or Oracle experience - 7+ years of processing large, multi-dimensional datasets from multiple sources experience - 5+ years of developing automated reporting experience - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with data visualization using Tableau, Quicksight
- similar tools - Knowledge of data warehousing and data modeling - Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of information retrieval, data science, machine learning and data mining Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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
- 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
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Required skills
SQLETLOracleAWSPythondata visualizationTableauQuicksightdata warehousingdata modelingdata sciencemachine learningdata mining