Business Intelligence Engineer, Shipping

About the Role

Amazon's global fulfillment network handles the complex movement of millions of packages through a dense graph of nodes, from vendor locations to Amazon warehouses and customer destinations. We have a BI and Data Engineering team dedicated to solving worldwide transportation challenges using workflows, optimization algorithms, and machine learning systems. As a Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations to provide data-driven recommendations for strategic planning within Amazon Shipping, and deliver projects to improve business cost and profitability.

Key Responsibilities

• Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.
• Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.
• Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.
• Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning.
• Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.

Requirements & Tech Stack

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• 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 is preferred.
• Knowledge of data modeling and data pipeline design is preferred.
• Experience with statistical analysis, co-relation analysis is preferred.