Senior Business Intelligence Engineer, Devices Supply Chain Technology

About the role

The Senior Business Intelligence Engineer at Amazon Devices builds and maintains the data foundation for supply chain cost, commodity, and sourcing metrics. This includes data from suppliers. The role involves creating pipelines and data models, developing analytics, and establishing data standards.

Responsibilities

• Build and own the core data pipelines and data models for supply chain cost, commodity, and sourcing metrics, including data from suppliers.
• Work with business owners across sourcing, operations, finance, and program teams to turn analysis and diagnostics into decisions.
• Establish data standards (taxonomies, reference data, schema governance) so metrics and reporting reconcile to one source.
• Make the data layer machine-readable and agent-ready, and automate recurring narratives and reviews with LLMs and agentic patterns where they earn their place.
• Build in data quality: traceable lineage, validation, anomaly detection, and monitoring.
• Partner with central Data Engineering to scale governed, automated pipelines across the organization.
• Set the technical standards other teams can adopt for working with supply chain data, and mentor engineers and analysts.

Qualifications

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience in scripting for automation (e.g. Python) and advanced SQL skills
• Experience with AWS technologies
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience building data products incrementally and integrating and managing data sets from multiple sources
• Experience in supply chain such as contracting, demand management and/or planning and procurement, and supply chain operations
• Experience working directly with business stakeholders to translate between data and business needs
• Experience working with large, complex data sets
• Experience managing, analyzing and communicating results to senior leadership
• Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.