Amazon Applied Scientist Prime Video - Personalization Discovery Science 

United States, California, Sunnyvale 

389684550

Key job responsibilities
2. Create and optimize SQL queries to retrieve and analyze large datasets related to selling partner issues, escalations, and resolutions.3. Develop interactive dashboards and reports using tools like QuickSight to visualize key performance indicators (KPIs) and trends.4. Collaborate with ESPR team members to understand their data needs and translate them into technical requirements.5. Conduct advanced analytics, including predictive modeling and trend analysis, to identify patterns in selling partner escalations and suggest proactive solutions.6. Ensure data quality and integrity through rigorous testing and validation processes.7. Provide data-driven recommendations to improve ESPR processes and reduce escalation rates.8. Stay current with emerging technologies and best practices in data engineering and business intelligence.

- Few 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 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