Job Description

Locations

• United States, AZ, Tempe, Tempe, AZ, United States
• United States, WA, Bellevue, Bellevue, WA, United States

Salary

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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