Amazon Kuiper Consumer Senior BIE Project 

United Kingdom, England, London 

209603094

Key job responsibilities
• Create a scalable customer insight mechanism (e.g. conjoint)
• Define metrics to identify drivers of subscriber acquisition, retention, and overall business health
• Develop recurring competitive insights and pricing trend analysis
• Collaborate with Regional Leads to identify gaps and trends to drive actionable insights across Europe
• Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders
• Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
• Architect standardized data models in the data warehouse for analysis and long-term reporting
• Work with product teams to identify gaps and trends
• Analyze large data sets using a variety of database query and visualization toolsThis position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations.

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Fluency in statistical concepts and advanced statistical techniques - distributions, confidence intervals, time series analysis, regression models, clustering.
- Experience with statistical analysis tools (such as R), root cause analysis, process design and control.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling