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Amazon Business Intelligence Engineer, Prime Video, GAE-Product Analytics in Arlington, Virginia

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.

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

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • Experience with data visualization using Tableau, Quicksight, or similar tools

  • Experience with data modeling, warehousing and building ETL pipelines

  • Experience in Statistical Analysis packages such as R, SAS and Matlab

  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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.

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 $89,600/year in our lowest geographic market up to $185,000/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.

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