Description
- 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 of results
- 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
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 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.
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.
Do you want to build new software tools and systems that are powered by generative AI? Do you want to work alongside a team of passionate, talented engineers and scientists on the next generation of intelligent customer-facing shopping experiences leveraging state-of-the-art deep learning and generative models? Our team is looking for a passionate and skilled Business Intelligence Engineer (BIE) to work closely with product, science, and cross-functional teams to develop robust end-to-end BI solutions. These solutions will support business reviews, model evaluations, product launches, and provide in-depth analysis to address key strategic questions.
The Shopping Convo Foundations org is building core foundational capabilities to train and optimize large language models. We create tools and infrastructure to measure, evaluate, and enhance high-quality language model experiences like Rufus. Our efforts aim to improve the performance and capabilities of these advanced language models. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.
Key job responsibilities
Collaborate with Product Managers, Scientists, and Engineers to design, define, and own key business metrics that monitor and evaluate project performance.
Partner with Data Engineers to design and develop core datasets, ensuring efficient and scalable data structures to support business needs.
Develop, maintain, and optimize ongoing data pipelines to ensure seamless data flow for analysis and reporting.
Actively participate in business review meetings, providing data-driven insights, addressing leadership questions, and conducting follow-up analysis as needed.
Perform in-depth analysis to identify root causes of business problems, offering actionable insights to drive improvements.
Build and enhance self-service BI tools to empower teams across the organization to access, visualize, and interpret data independently.
Ensure data quality and integrity across all datasets and reporting, implementing best practices for data governance.
- 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 of results
- 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
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 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.
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.
Do you want to build new software tools and systems that are powered by generative AI? Do you want to work alongside a team of passionate, talented engineers and scientists on the next generation of intelligent customer-facing shopping experiences leveraging state-of-the-art deep learning and generative models? Our team is looking for a passionate and skilled Business Intelligence Engineer (BIE) to work closely with product, science, and cross-functional teams to develop robust end-to-end BI solutions. These solutions will support business reviews, model evaluations, product launches, and provide in-depth analysis to address key strategic questions.
The Shopping Convo Foundations org is building core foundational capabilities to train and optimize large language models. We create tools and infrastructure to measure, evaluate, and enhance high-quality language model experiences like Rufus. Our efforts aim to improve the performance and capabilities of these advanced language models. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.
Key job responsibilities
Collaborate with Product Managers, Scientists, and Engineers to design, define, and own key business metrics that monitor and evaluate project performance.
Partner with Data Engineers to design and develop core datasets, ensuring efficient and scalable data structures to support business needs.
Develop, maintain, and optimize ongoing data pipelines to ensure seamless data flow for analysis and reporting.
Actively participate in business review meetings, providing data-driven insights, addressing leadership questions, and conducting follow-up analysis as needed.
Perform in-depth analysis to identify root causes of business problems, offering actionable insights to drive improvements.
Build and enhance self-service BI tools to empower teams across the organization to access, visualize, and interpret data independently.
Ensure data quality and integrity across all datasets and reporting, implementing best practices for data governance.
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