Business Intelligence Engineer I, SCOT Buying

About the role

The Supply Chain Optimization Technologies (SCOT) Buying team is at the heart of Amazon's global inventory management. We build sophisticated automated systems that decide what to buy, when to buy it, and where to place billions of dollars in inventory across Amazon's vast network. These decisions directly impact Amazon's ability to delight customers and drive operational efficiency. Join us to solve technical challenges at massive scale, shaping the core of Amazon's retail business through data-driven decisions.

Responsibilities

• Build BI solutions including data sets, queries, reports, dashboards, and analyses to answer business questions
• Collaborate with Product Managers, Software Engineers, Data Scientists, and other BIEs to understand requirements and deliver data solutions
• Analyze relevant business data, identify trends, and communicate findings to stakeholders
• Create and maintain data structures, ETL processes, and reports that correctly answer business questions using SQL and analytics visualization tools such as QuickSight
• Investigate data anomalies, troubleshoot issues in reports and data pipelines, and automate manual processes where possible to improve efficiency
• Document solutions clearly to ensure ease of use, interpretation, and maintainability by others, and seek input and guidance from team members on both technical approaches and business understanding

Requirements

• 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)

Qualifications

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

Skills

• Technical skills to work with large datasets
• Ability to learn and apply best practices in data management and analytics

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan