Senior Business Intelligence Engineer, Analytics & Agentic AI, Speed Analytics and Science
Job Description
Amazon is seeking an experienced and forward-thinking Senior Business Intelligence Engineer (BIE) to lead the next generation of analytics and decision support for our North American Transportation network. In this role, you’ll drive both traditional BI excellence and help integrate AI-powered analytics, including autonomous agents and generative AI tools, to transform how we understand, measure, and improve delivery performance.Amazon Transportation encompasses all the operations that move customer shipments from fulfillment centers and third-party locations to the customer’s doorstep. Delivery speed is a core customer promise and a key differentiator for Amazon—your work will directly influence how we measure, improve, and scale this experience across our growing network.You’ll partner closely with product managers, data scientists, applied scientists, software engineers, and business leaders. You will design analytical systems, build advanced dashboards and self-service tools, and increasingly work alongside AI agents to accelerate insight generation, root cause analysis, and metric definition.This is a highly visible role for someone who thrives in ambiguity, combines technical depth with business judgment, and is excited about shaping the future of analytics at Amazon.Key job responsibilities- 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 that support granular analysis, defect investigation, and root cause discovery- Perform deep-dives and ad hoc analytics to guide business decisions and uncover optimization opportunities- Collaborate with scientists and engineers to incorporate agentic AI tools into analytical workflows (e.g., GenAI agents that generate SQL, summarize findings, or assist with root cause detection)- Stay current with AI/ML advancements (especially around LLMs and GenAI) and evangelize new technologies within the BIE and analytics community- Partner with stakeholders to define new performance metrics, ensuring alignment with customer experience goals and operational driversAbout the teamWe enable data-driven decision-making for Amazon’s North American Transportation network by combining deep analytics, causal modeling, and experimentation. Our team supports business and tech stakeholders across planning, delivery, and customer experience by developing scalable tools, dashboards, and metrics. As we evolve toward agentic and generative AI, we are reimagining how insights are produced—moving from static reports to intelligent, autonomous systems that proactively surface opportunities and drive operational excellence.
Locations
- United States, AZ, Tempe, Tempe, AZ, United States
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
170,000 - 240,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 10+ years of professional or military experienceintermediate
- - 5+ years of SQL experienceintermediate
- - Experience programming to extract, transform and clean large (multi-TB) data setsintermediate
- - Experience with theory and practice of design of experiments and statistical analysis of resultsintermediate
- - Experience with AWS technologiesintermediate
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills.intermediate
- - Experience with theory and practice of information retrieval, data science, machine learning and data miningintermediate
Required Qualifications
- - 10+ years of professional or military experience (experience, 10 years)
- - 5+ years of SQL experience (experience, 5 years)
- - Experience programming to extract, transform and clean large (multi-TB) data sets (experience)
- - Experience with theory and practice of design of experiments and statistical analysis of results (experience)
- - Experience with AWS technologies (experience)
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills. (experience)
- - Experience with theory and practice of information retrieval, data science, machine learning and data mining (experience)
Preferred Qualifications
- - Experience working directly with business stakeholders to translate between data and business needs (experience)
- - Experience managing, analyzing and communicating results to senior leadership (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- - 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 that support granular analysis, defect investigation, and root cause discovery
- - Perform deep-dives and ad hoc analytics to guide business decisions and uncover optimization opportunities
- - Collaborate with scientists and engineers to incorporate agentic AI tools into analytical workflows (e.g., GenAI agents that generate SQL, summarize findings, or assist with root cause detection)
- - Stay current with AI/ML advancements (especially around LLMs and GenAI) and evangelize new technologies within the BIE and analytics community
- - Partner with stakeholders to define new performance metrics, ensuring alignment with customer experience goals and operational drivers
- About the team
- We enable data-driven decision-making for Amazon’s North American Transportation network by combining deep analytics, causal modeling, and experimentation. Our team supports business and tech stakeholders across planning, delivery, and customer experience by developing scalable tools, dashboards, and metrics. As we evolve toward agentic and generative AI, we are reimagining how insights are produced—moving from static reports to intelligent, autonomous systems that proactively surface opportunities and drive operational excellence.
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Tags & Categories
Senior Business Intelligence Engineer, Analytics & Agentic AI, Speed Analytics and Science
Job Description
Amazon is seeking an experienced and forward-thinking Senior Business Intelligence Engineer (BIE) to lead the next generation of analytics and decision support for our North American Transportation network. In this role, you’ll drive both traditional BI excellence and help integrate AI-powered analytics, including autonomous agents and generative AI tools, to transform how we understand, measure, and improve delivery performance.Amazon Transportation encompasses all the operations that move customer shipments from fulfillment centers and third-party locations to the customer’s doorstep. Delivery speed is a core customer promise and a key differentiator for Amazon—your work will directly influence how we measure, improve, and scale this experience across our growing network.You’ll partner closely with product managers, data scientists, applied scientists, software engineers, and business leaders. You will design analytical systems, build advanced dashboards and self-service tools, and increasingly work alongside AI agents to accelerate insight generation, root cause analysis, and metric definition.This is a highly visible role for someone who thrives in ambiguity, combines technical depth with business judgment, and is excited about shaping the future of analytics at Amazon.Key job responsibilities- 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 that support granular analysis, defect investigation, and root cause discovery- Perform deep-dives and ad hoc analytics to guide business decisions and uncover optimization opportunities- Collaborate with scientists and engineers to incorporate agentic AI tools into analytical workflows (e.g., GenAI agents that generate SQL, summarize findings, or assist with root cause detection)- Stay current with AI/ML advancements (especially around LLMs and GenAI) and evangelize new technologies within the BIE and analytics community- Partner with stakeholders to define new performance metrics, ensuring alignment with customer experience goals and operational driversAbout the teamWe enable data-driven decision-making for Amazon’s North American Transportation network by combining deep analytics, causal modeling, and experimentation. Our team supports business and tech stakeholders across planning, delivery, and customer experience by developing scalable tools, dashboards, and metrics. As we evolve toward agentic and generative AI, we are reimagining how insights are produced—moving from static reports to intelligent, autonomous systems that proactively surface opportunities and drive operational excellence.
Locations
- United States, AZ, Tempe, Tempe, AZ, United States
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
170,000 - 240,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 10+ years of professional or military experienceintermediate
- - 5+ years of SQL experienceintermediate
- - Experience programming to extract, transform and clean large (multi-TB) data setsintermediate
- - Experience with theory and practice of design of experiments and statistical analysis of resultsintermediate
- - Experience with AWS technologiesintermediate
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills.intermediate
- - Experience with theory and practice of information retrieval, data science, machine learning and data miningintermediate
Required Qualifications
- - 10+ years of professional or military experience (experience, 10 years)
- - 5+ years of SQL experience (experience, 5 years)
- - Experience programming to extract, transform and clean large (multi-TB) data sets (experience)
- - Experience with theory and practice of design of experiments and statistical analysis of results (experience)
- - Experience with AWS technologies (experience)
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills. (experience)
- - Experience with theory and practice of information retrieval, data science, machine learning and data mining (experience)
Preferred Qualifications
- - Experience working directly with business stakeholders to translate between data and business needs (experience)
- - Experience managing, analyzing and communicating results to senior leadership (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- - 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 that support granular analysis, defect investigation, and root cause discovery
- - Perform deep-dives and ad hoc analytics to guide business decisions and uncover optimization opportunities
- - Collaborate with scientists and engineers to incorporate agentic AI tools into analytical workflows (e.g., GenAI agents that generate SQL, summarize findings, or assist with root cause detection)
- - Stay current with AI/ML advancements (especially around LLMs and GenAI) and evangelize new technologies within the BIE and analytics community
- - Partner with stakeholders to define new performance metrics, ensuring alignment with customer experience goals and operational drivers
- About the team
- We enable data-driven decision-making for Amazon’s North American Transportation network by combining deep analytics, causal modeling, and experimentation. Our team supports business and tech stakeholders across planning, delivery, and customer experience by developing scalable tools, dashboards, and metrics. As we evolve toward agentic and generative AI, we are reimagining how insights are produced—moving from static reports to intelligent, autonomous systems that proactively surface opportunities and drive operational excellence.