Business Intelligence Engineer, Prime Video Finance
Role details
Job location
Tech stack
Job 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., The successful candidate will thrive in a data driven environment that it driven to deliver insights that is timely, accurate and actionable to aid decision support. Motivated by solving complex problems and excited about using data analytics to drive a business forward, the successful candidate will relish the opportunity of driving forward Prime Video's analytics to the next level. Some of the key responsibilities of this role will include:
- 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.
Requirements
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space
Preferred Qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis