Business Intelligence Engineer, Global Delivery Customer Experience Business Intelligence

Business Intelligence Engineer, Global Delivery Customer Experience Business Intelligence (GDCX-BI) Do you have a passion for setting the strategic vision and building new customer-facing experiences that are used by millions? The Global Delivery Experience (Delivery CX) team is hiring The Delivery CX team’s mission is to provide a best‑in‑class delivery experience for Amazon customers. We build customer-facing experiences that provide delivery visibility and self‑service controls to ensure customers never miss a delivery. We are seeking a Business Intelligence Engineer to help us raise the bar on shopping and delivery convenience through technical innovation in GenAI for the BI space. Data analysis is at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will gather customer insights, mine data, make recommendations, and help senior leaders make key business decisions. You will work with one of the largest and most complex data warehouses in the world to gather insights using data from across Amazon. As a Business Intelligence Engineer, you will build a bridge between our tech product and optimized customer experience by connecting, deep‑diving, and surfacing data‑driven insights. Key Job Responsibilities Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data. Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions. Build various data visualizations to tell the story and let the data speak for itself. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Build decision‑making models and propose solutions for the business problem you defined. Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication. Recognize and adopt best practices in reporting, analysis, and experiment design: data integrity, analysis, validation, and documentation. Apply data mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify the best opportunities to improve the customer experience and meet our goals. 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 vary by location, hours worked, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full‑time employees include: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) RRSP About the Team The GDCX BI team supports Amazon’s Global Delivery Customer Experience organization by providing fast, accurate, and scalable business intelligence solutions. It partners with product, UX, and tech teams to deliver impactful analytics for strategy, planning, and performance evaluation. Key responsibilities include data pipelining, experimentation design and analysis, dashboarding, customer insights, and operational planning. The team emphasizes strong code quality, scalable architecture, and frugal resource use while ensuring data accuracy, privacy, and compliance. By empowering end users with AI‑enabled self‑service BI tools, GDCX BI drives data‑informed decisions that enhance customer experience and business efficiency across Amazon’s delivery ecosystem. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t‑test, chi‑square). Experience with scripting languages (e.g., Python, Java, or R) Preferred Qualifications Master’s degree, or an advanced technical degree. Knowledge of data modeling and data pipeline design. Experience with statistical analysis and correlation analysis. Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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. Compensation The base salary for this position ranges from $61,400/year up to $102,600/year. Salary is based on a number of factors 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 other benefits. Applicants should apply via our internal or external career site. #J-18808-Ljbffr