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Senior Business Intelligence Engineer, Analytics & Agentic AI, Speed Analytics and Science

Amazon is a global technology and e-commerce company that operates the world's largest online marketplace.
Tempe, AZ, USABellevue, WA, USA
$117,300 - $202,800
Data
Senior Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Logistics

Job Description

Amazon is seeking an experienced Senior Business Intelligence Engineer (BIE) to lead analytics and decision support for their North American Transportation network. This role combines traditional BI excellence with AI-powered analytics integration, focusing on delivery performance metrics and customer experience optimization.

The position sits within Amazon's Transportation division, which manages all operations moving customer shipments from fulfillment centers to customers' doorsteps. Delivery speed is a core customer promise and key differentiator for Amazon. The role involves close collaboration with product managers, data scientists, applied scientists, software engineers, and business leaders.

Key responsibilities include designing analytical systems, building advanced dashboards, and working with AI agents to accelerate insight generation. The successful candidate will lead the development of reporting solutions, create self-service tools, and perform deep-dive analytics to guide business decisions. They will also help integrate generative AI tools into analytical workflows and stay current with AI/ML advancements.

The team enables data-driven decision-making by combining deep analytics, causal modeling, and experimentation. They support various stakeholders across planning, delivery, and customer experience through scalable tools and metrics development. The role offers competitive compensation ranging from $117,300 to $202,800 based on location and experience, plus comprehensive benefits including equity and sign-on payments.

This is an excellent opportunity for someone who thrives in ambiguous environments, possesses both technical depth and business acumen, and is passionate about shaping the future of analytics at Amazon. The ideal candidate will have extensive experience with SQL, Python, AWS technologies, and a strong background in data science and machine learning.

Last updated 9 days ago

Responsibilities For Senior Business Intelligence Engineer, Analytics & Agentic AI, Speed Analytics and Science

  • Own the design, development, and scaling of reporting solutions that support delivery speed and customer experience metrics
  • Build scalable self-service dashboards and data pipelines
  • Perform deep-dives and ad hoc analytics to guide business decisions
  • Collaborate with scientists and engineers to incorporate agentic AI tools into analytical workflows
  • Stay current with AI/ML advancements
  • Partner with stakeholders to define new performance metrics

Requirements For Senior Business Intelligence Engineer, Analytics & Agentic AI, Speed Analytics and Science

Python
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis
  • Experience with AWS technologies
  • 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

Benefits For Senior Business Intelligence Engineer, Analytics & Agentic AI, Speed Analytics and Science

Medical Insurance
401k
Equity
  • Comprehensive medical benefits
  • 401k retirement plan
  • Equity compensation
  • Sign-on payments
  • Total compensation package

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