AmazonSr. Business Intelligence Eng, Amazon Leo Customer Terminals
Amazon is hiring a Sr. Business Intelligence Eng, Amazon Leo Customer Terminals. It pays $130k-$176k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include SQL, ETL and Tableau.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past two weeks.
AI in this role
Lead business intelligence engineering for Amazon Leo customer terminals, building data pipelines and analytics for supply chain and quality operations.
We are seeking a Business Intelligence Engineer to join the Leo Aviation Operations team, supporting the data infrastructure and analytics that power our quality management systems, procurement, supply chain, and bill of materials (BOM) operations. This role sits at the intersection of operational excellence and data engineering by building the reporting, tooling, and insights that enable Leo to scale aviation customer terminal manufacturing with full traceability, compliance, and cost visibility. You will partner closely with operations, engineering, supply chain, and business development teams to transform complex operational data into actionable intelligence that drives decision-making from component sourcing through final delivery.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
- Quality Management Systems (QMS) Analytics: Design and build dashboards, automated reports, and data pipelines that track quality metrics across the manufacturing lifecycle — including first pass yield, defect rates, non-conformance trends, corrective/preventive actions (CAPA), and supplier quality performance. Ensure data supports AS9100 and aviation regulatory compliance requirements.
- Procurement & Supply Chain Intelligence: Develop analytics solutions that provide visibility into procurement spend, supplier lead times, purchase order status, and supply chain risk. Build models that identify cost optimization opportunities and flag supply disruptions before they impact production timelines.
- Bill of Materials (BOM) Data Management: Create and maintain BI solutions that ensure BOM accuracy, version control traceability, and alignment between engineering BOMs, manufacturing BOMs, and procurement records. Build automated reconciliation tools to catch discrepancies early in the NPI process.
- Data Pipeline & Infrastructure Development: Design, build, and maintain scalable ETL/ELT pipelines that ingest data from manufacturing execution systems, ERP platforms, quality databases, and CM partner systems into a unified data warehouse. Ensure data integrity, freshness, and accessibility for downstream consumers.
- Self-Service Reporting & Democratization: Build intuitive dashboards and self-service analytics tools that empower operations, engineering, and leadership teams to access real-time insights without relying on ad-hoc data requests. Establish standardized KPI definitions and reporting cadences.
- Cross-Functional Partnership: Collaborate with operations managers, supply chain leads, quality engineers, and business development to understand data needs, translate business questions into analytical frameworks, and deliver insights that inform strategic and tactical decisions.
Basic qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- 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 programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- 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
- Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience in supply chain security, including management of third-party logistics providers, law enforcement, loss prevention, risk management, investigations or a similar field
- Experience with ERP systems (e.g., SAP, Oracle, Workday)
- Experience with Federal Aviation Administration (FAA) regulations or similar technical platforms, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
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, Redmond - 130,400.00 - 176,300.00 USD annually
How we rate this
Sr. Business Intelligence Eng, Amazon Leo Customer Terminals at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where supply chain analytics was part of your work. What did you do?
- Tell me about a project where quality management was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Data Engineering, Supply Chain Analytics, Quality Management, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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