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Amazon Business Intelligence Engineer Prime Video Finance BI 
United Kingdom, England, London 
376353392

18.11.2024
DESCRIPTION

Prime Video Finance BI team seeks a business intelligence engineer to support Prime Video strategy and performance. You will be responsible for the production of key business reporting to leadership, building scalable data solutions to complex problems and performing ad-hoc deep dives to better understand and value performance metrics. You will work with upstream tech teams to create complex data ingestion pipelines for critical data sources, and create actionable KPIs for business teams. In this role, you will also work with key business stakeholders from Finance and Business organizations to identify challenges and translate them into technical requirements that can be solved with BI and Analytics tools.Key job responsibilities• Own business-critical reporting that is leveraged globally by hundreds of users; from developing and maintaining large-scale data structures and ETL pipelines to creating reporting in Quicksight or Excel.
• Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions.
• Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making.
• Build strong relationships with the Data Engineering and Core Analytics Tooling teams to enhance upstream data sources and develop data processes to enable more scalable and accurate reporting.


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