Amazon Recruitment Program 2026 | Hiring Business Intel Engineer I, AOP

Basic Qualifications

• 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)

Preferred Qualifications

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

Key job responsibilities

• Apply multi-domain/process expertise in day to day activities and own end to end roadmap.
• Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.
• Define analytical approach; review and vet analytical approach with stakeholders.
• Proactively and independently work with stakeholders to construct use cases and associated standardized outputs
• Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation
• Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis
• Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage)
• When needed, pull data from multiple similar sources to triangulate on data fidelity
• Actively manage the timeline and deliverables of projects, focusing on interactions in the team
• Provide program communications to stakeholders
• Communicate roadblocks to stakeholders and propose solutions
• Represent team on medium-size analytical projects in own organization and effectively communicate across teams