Sr Business Intelligence Engineer, Central RME - Amazon

Description Are you passionate about solving challenging problems and helping Amazon deliver the perfect combination of speed, cost-efficiency, and reliability? The Global Reliability and Maintenance Engineering (RME) team is looking for a skilled, customer-obsessed Senior Business Intelligence Engineer to join our dynamic organization. As a Senior BI Engineer in the RME Central MAP team, you will work with large volumes of data to solve complex business problems and provide actionable insights through data analytics. You will collaborate with senior leaders across RME to align scalable metrics, track measurable results, and develop strategic opportunities where data improvements can drive significant impact. The successful candidate will have extensive experience designing and delivering analytical solutions in a highly ambiguous environment, be comfortable working with both technical and non-technical audiences, and have strong analytical and communication skills. This role requires a deep passion for data, the ability to thrive in a fast-paced, global environment, and a commitment to cross-functional collaboration. You will help establish a data-driven culture by leveraging business intelligence tools and the latest generative AI technologies to build impactful products and insights. If you're ready to make a meaningful impact and help Amazon innovate, this is the opportunity for you. Key job responsibilities - Own the design, development, and maintenance of metrics, reports, dashboards, and analyses to drive key business decisions. - Collaborate with product managers, engineering teams, and stakeholders to drive project delivery and strategic initiatives. - Lead the functional and technical design of BI solutions, including user interfaces, architecture, and data processing. - Develop statistical analyses and visualizations for ad-hoc requests and ongoing reporting. - Troubleshoot data and analysis issues, research root causes, propose solutions, and implement resolutions. - Create scalable, automated processes for large-scale data analysis and model development. - Lead end-to-end projects, including data gathering, synthesis, modeling, and communication of insights. - Engage with leadership and customers to understand needs and recommend BI solutions. - Partner with cross-functional teams to standardize processes and improve reporting. - Participate in strategic planning discussions, gathering requirements, and delivering complete BI solutions. - Identify opportunities for process improvement and automation, leading change initiatives. - Ensure best practices in reporting, analysis, data integrity, and documentation. - Design, write, and manage specifications for reporting and analytical systems. - Improve the analytics architecture and tools to provide scalable and efficient solutions. - Build operational plans by aligning objectives and resources with senior leadership and stakeholders. - Drive innovation by integrating AI and LLM technologies into the analytics domain. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications - 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 Preferred Qualifications - 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. 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.