At Amazon Devices, the teams behind products like Kindle and
Echo make sourcing and cost decisions across thousands of components and hundreds of programs. This role builds and maintains the data foundation those decisions depend on.
We are looking for a Senior Business Intelligence Engineer to build and run the core data foundation, and turn the data into the metrics and diagnostics leaders act on. You will create the pipelines and data models behind those metrics, and develop the analytics that explain not just what happened but why. You will design the data layer to be consumed by people and AI agents alike. This is a build role with ambiguity: problems arrive loosely defined, and you turn them into reliable data and clear answers.
Key job responsibilities
- Build and own the core
data pipelines and data models for supply chain cost, commodity, and sourcing metrics, including data that comes 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.
A day in the life
You take on problems that arrive loosely defined. Working with the business owners who bring in the supplier data and act on the result, you trace where it comes from, pin down the source of truth, and build the pipeline and data model behind it. You turn that into the metrics and dashboards that move a decision. The payoff is a source other teams can trust and build on. You move fast, handle shifting priorities, and leave the data better than you found it.
About the team
Devices Supply Chain Technology is the team that brings Amazon Devices supply chain's data, analytics, and tools together in one place. We build what our supply chain, finance, operations, and program teams rely on to make decisions. We use AI to build faster, and we design our products so AI agents and people can both use them. We value ownership, high standards, and building with our business partners.
- 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
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Sunnyvale - 149,900.00 - 202,800.00 USD annually