Sr Business Intelligence Engineer AIS Supply Chain - Fixed

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

AIS (AWS Infrastructure Services) is looking for a Sr. Business Intelligence Engineer to be responsible for working across many high visible product areas. As a member of the AIS Supply Chain team you will be at the forefront of this organizational capability to increase our understanding of supply chain risks within our hardware products. The Supply Chain Resiliency team is responsible for identifying risks to avoid disruptions of product delivery by building a framework that anticipates identifies and mitigates high priority risks with action plans. As a resiliency BIE you are a builder at heart on mechanisms systems and automation. You have a passion for using data in order to drive business actions. Your goal is to improve current data and automation solutions or innovate new and simpler ones to achieve robust risk insights. You have proven experience with information retrieval data mining building cleaning and training foundational models data science Gen AI ML and LLM. The successful candidate will be able to retrieve integrate visualize and present critical data in a format that is immediately useful to improve the business decision process. You thrive at analyzing and modeling very large data sets diving below the surface to identify the root causes rather than highlevel trends. This role requires an individual with excellent analytical abilities critical thinking and to balance business acumen working with technical teams and systems nontech teams and senior leadership. You are a selfstarter comfortable with ambiguity with strong attention to detail and knows how to develop a strategy execute and measure and deliver outcomes.

Key job responsibilities
Apply deep analytics and business intelligence skills to extract meaningful insights and learn from large and complex data sets using AI/ML.
Partner with stakeholders to define priority of BI projects reporting FMs RAG RLHF.
Lead high impact AI/ML projects. Perform deepdives to derive actionable insights; Creating models to predict risk actions and improve outcomes and optimize business processes.
Build selfservice reporting tools and dashboards
Provide SQL support and manage queries and databases (SQL Tableau etc.
Build various data visualizations to tell the story of business trends patterns and outliers that result to meaningful actions.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
Research industry trends and extract to align resiliency strategies and mechanisms.


About the team
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Bachelors degree in Computer Science or Engineering SDE or related technical or equivalent of 7 years of related experience.
7 years of experience programming to extract transform and clean large data sets (multiTB)
7 years of experience in scripting for automation (e.g. Python) and advanced SQL skills.
7 years of experience with data visualization using Tableau QuickSight or similar tools
7 years of experience working directly with business stakeholders to translate between data and business needs
7 years of experience in HW product management and/or in supply chain and/or end to end product development lifecycle.

Masters degree in Computer Science or Engineering SDE or related technical domain.
Experience with design of experiments and statistical analysis of results.
Experience with advanced information retrieval building new FMs and data science.
Experience in product supplier risk or business continuity planning.
Excellent written and verbal communication skills.
Experience with AWS products and services.
Experience with external research and benchmarking that translates to valuable outcomes to delight customers.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.