Business Intelligence Engineer, Amazon Transportation

Business Intelligence Engineer, Amazon TransportationThe 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, and excellent business and communication skills to work with business owners to define key business questions and build data sets that answer those 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 in understanding the business requirements and implementing reporting solutions.Above all you should be passionate about bringing large datasets together to answer business questions and drive change.Key job responsibilitiesWork 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 and know how, when, and which to use and which not to use.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.Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams.A day in the lifeAmazon 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 CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)RRSPBasic QualificationsBachelor's degree in mathematics, engineering, statistics, computer science or a related field5+ years of data engineering, database engineering, business intelligence or business analytics experienceExperience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packagesExperience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical softwareExperience with data modeling, warehousing and building ETL pipelinesPreferred QualificationsMaster's degree or above in business, engineering, statistics, computer science, mathematics or related fieldExperience with forecasting and statistical analysisExperience with end-to-end project managementAmazon 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 for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.#J-*****-Ljbffr