Description Prime Video is changing the way customers around the world consume video entertainment by offering – in every country – the broadest selection of premium video within a single experience, accessible across all devices. The mission of Prime Video International Expansion Business Intelligence team is to drive marketing, product and content decisions that improve customer experience by providing analytical solutions and actionable insights. To help us fulfill this mission, we are seeking a competent, curious, resourceful, and experienced Business Intelligence Engineer to support our product and tech branch to develop new insights into product and internal tools and improve both external and internal customer experience.

 Key job responsibilities As a Business Intelligence Engineer on the team, you will work closely with cross-functional counterparts in engineering, product management, and marketing to drive strategic decisions with data and set up reporting capabilities for our international video streaming service.

Key responsibilities include:

Establish goals, plans, and related metrics; track progress; and manage through obstacles to achieve program objectives
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
Define the structure of our reporting mechanisms and dashboards for key metrics to illustrate and communicate organizationally on the progress against goals
Utilize database and reporting technologies, including SQL, ETL, Redshift, Quicksight, Tableau etc. to design and develop impactful analyses and reporting.
Manage and execute the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Basic Qualifications - 8+ years of professional or military experience - 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 - Experience building measures and metrics, and developing reporting solutions - Experience with data visualization using Tableau, Quicksight, or similar tools 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. 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.