Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.
As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
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 responsibilities include:Establish goals plans and related metrics; track progress; and manage through obstacles to achieve program objectivesGather business and functional requirements and translate these requirements into robust scalable operable solutions that work well within the overall data the structure of our reporting mechanisms and dashboards for key metrics to illustrate and communicate organizationally on the progress against goalsUtilize database and reporting technologies including SQL ETL Redshift Quicksight Tableau etc. to design and develop impactful analyses and and execute the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance.
About the team
Prime Videos Global App Experience Product Analytics (GAE-PA) team leads engagement analytics for all Prime Video app experiences across mobile living room web automotive and VR platforms. We own 70 core metrics used by 300 PMs to drive key decisions and support multiple strategic company goals. As the dedicated analytics partner for the GAE product org we focus on scalable data foundations causal attribution and GenAI-powered insights to accelerate decision-making and customer impact.
- 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
- 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
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.