Amazon Business Intelligence Engineer Delivery Experience 

India, Karnataka 

712311028

Key job responsibilities
A day in the life
• Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, consolidation, Prime benefits, reduce ship costs, etc.).
• Own end-to-end program management. You will not only develop insights but devise realistic plans and work with key stakeholders (software managers, product managers, retail business managers, etc.) to execute them.
• Responsible for adding YY million $ to top line or reducing XX million $ actual savings to bottom line. You will be responsible for not only "recommendation" but actual improvements.
• Engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook.
• Be a subject matter expert in best in class customer experience policies at Amazon. You will understand intricate details of our promise and ordering systems along with their impact on ground-level operations
• Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.
• Build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions. You
• Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high¬ value, self-service automated BI solutions.
• Responsible for up skilling team data management and analytical capabilities by mentoring program managers, junior/peer analysts, and senior managers.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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)

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis