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Amazon Business Intelligence Engineer Prime Video 3rd Party Device Partnerships 
United Kingdom, England, London 
140140481

15.01.2025
DESCRIPTION

We’re looking for a BIE who can help us drive data-driven decision-making across Prime Video 3PDP. You will be responsible for executing the Prime Video marketing analytics strategy for 3rd Party Living Room devices. You will leverage your technical and analytical skills to create scalable data structures, develop automated data visualization tools, and drive strategic insights on how to grow the business through targeted marketing decisions.As a BIE, you will own partnering with data engineering and software engineering teams to drive best-in-class business intelligence solutions at scale. You will work with structured and unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members across engineering, product, business leadership, and economics/data science teams.Key job responsibilities
- Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.- Partner with data engineering to build best-in-class data architecture and pipelines to support analytics needs.
- Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.


BASIC QUALIFICATIONS

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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 SQL
- Experience in the data/BI space