At Amazon, we are working to be the most customer-centric company on earth and to get there, we need exceptionally talented, bright, and driven people. We are looking for a flexible, organized, self-starter to join AWS' Data Center Learning team as a Senior Business Intelligence Engineer. The Data Center Learning Intelligence team supports AWS' Global Infrastructure Operation's insights pipeline, from data collection to deep analytics for our candidate pipeline through the employee lifecycle of development. Our team's mission is to make AWS Infrastructure Operations employee training and development the most measurably effective in the world. Our long-term objective is to measure the incremental impact of all Global Infrastructure's investments in employee learning, upskilling, and technology. This requires measuring comparably and consistently across our learning systems, business teams and countries using a comprehensive approach that integrates training activity across existing modalities or new technology such as virtual reality (VR).You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use).By recognizing and using advanced analytical techniques to solve business problems, you develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value for the Data Center Community and its learning needs.Key job responsibilities* Collaboration and partnership with Data Center Community and technical development teams to drive process improvements* Design, development, documentation, and maintenance of scalable solutions supporting internal stakeholders* Build automated tools to support analytics and reporting capabilities (e.g. dashboards, ETL pipelines)* Supporting the global Data Center Community organization with various ad-hoc reporting, analyses, and data processing needs* Testing of new system implementations to support business expansion* Exploring the use of, and ability to learn, new analytical and reporting tools* Ability to communicate clearly to both technical and non-technical stakeholders* Building strong working relationships with key business partners* Mentoring and developing junior BIEsWe are open to hiring candidates to work out of one of the following locations:Seattle, WA, USA- 5+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- 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 with AWS technologies- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with learning analytics.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/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 o