Senior Business Intelligence Engineer, Digital, Device, and Alexa Support

If you're intrigued by data and machine learning and wish to be part of a science and analytics team that crafts solutions, which significantly influence millions of customers all around the world, then this job is perfect for you! Amazon has transformed customer service and is now evolving what customers anticipate from technical assistance. We oversee the Customer Service processes and solutions for all Amazon Devices and Digital features, ranging from the Kindle and Echo to Amazon Music and Prime Video. Currently, we are in search of a dedicated individual with strong technical/analytical skills and hands-on experience to join the Device, Digital, and Alexa Support (D2AS) team as a Business Intelligence Engineer on the Science & Analytics Team. We need someone with a solid understanding of BI engineering, who can handle large data sets, build the data required for analyzing information, identify essential business insights, and assist stakeholders in generating the suitable metrics for measuring the success criteria. Ability to cope with ambiguity, foresee bottlenecks and escalations, and setting realistic yet ambitious expectations are all vital for the success of our platform. In this role, your duties include: Working closely with Product Managers, Scientists, Engineers, and Data Engineers on developing BI/ analytics solutions to measure the performance of new and existing solutions (including ML models) and find out new opportunities for improvements. You will be examining trending metrics to identify root causes of issues and devise improvement opportunities. Additionally, you will also be responsible for the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc., to drive business decisions. Teaming up with Product Managers, Data Engineers, scientists to develop a mechanism to measure the performance of a new, complex project funded in 2023 that aims to create a cohesive generative AI solution to enhance customer experience. Working with D2AS stakeholders to transition visualization tools to better adjust applications within the AWS ecosystem. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age. We are open to hiring candidates from the following locations: Arlington, VA, USA | Austin, TX, USA | Bellevue, WA, USA | Nashville, TN, USA | Seattle, WA, USA Basic Qualifications: 7+ years of professional or military experience 5+ years of SQL experience Experience in extracting, transforming, and cleaning large (multi-TB) data sets Experience with the 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. Preferred Qualifications: Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing, and communicating results to senior leadership A Master's degree in statistics, data science, or an equivalent quantitative field Amazon is dedicated to fostering a diverse and inclusive workplace and does not discriminate on any protected grounds. For individuals with disabilities who might require an accommodation, please visit https://www.amazon.jobs/en/disability/us. The compensation for this position varies from $104,300/year in our lowest geographic market up to $202,800/year in our highest geographic market, depending on several factors including market location, job-related knowledge, skills, and experience. Amazon provides a comprehensive compensation package, including equity, sign-on payments, and other forms of compensation, 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. Interested applicants should apply through our internal or external career site.