Business Intelligence Engineer, Amazon Transportation

Business Intelligence Engineer, Amazon Transportation The Supply Chain Optimization Technologies (SCOT) organization has an immediate need for a creative Business Intelligence Engineer (BIE) with a passion for building systems that have a measurable impact. As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets, excellent business and communication skills, and the ability to work with business owners to develop and define key business questions. You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end‑user facing applications. You should be able to work with business customers to understand requirements and implement reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. Key Job Responsibilities Work with the BIE and engineering team to design and develop scalable, user‑friendly systems, data lakes, reports, and dashboards. Write high‑quality SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle) and learn and understand a broad range of Amazon’s data resources. Work closely with science and research peers to translate business questions into analytical solutions and provide insights and recommendations at scale. Develop queries and visualizations for ad‑hoc requests and projects, as well as ongoing reporting. Exhibit excellent communication (verbal and written) and interpersonal skills, effectively communicating with both business and technical teams. 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: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) RRSP Basic Qualifications Bachelor's degree in mathematics, engineering, statistics, computer science or a related field 5+ years of data engineering, database engineering, business intelligence or business analytics experience Experience with reporting and Data Visualization tools such as QuickSight, Tableau, Power BI or other BI packages Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications Master's degree or above in business, engineering, statistics, computer science, mathematics or related field Experience with forecasting and statistical analysis Experience with end‑to‑end project management 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, 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. Posted: December 2, 2025 (Updated 1 day ago) #J-18808-Ljbffr