The Business Intelligence Engineer will join the BI Engineering, Analytics, & Data Science team at Amazon Robotics, focusing on supporting Robotic Storage Tech programs. This role involves applying statistical analysis to evaluate new robotic products and collaborating with various stakeholders to inform product development decisions. The engineer will design and maintain dashboards and reports to track system performance and readiness. This position is crucial for ensuring data-driven decisions throughout the development lifecycle of new robotic systems.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience writing complex SQL queries.
• Experience in Statistical Analysis packages such as R, SAS, and Matlab.
• Experience using SQL to pull data from a database or data warehouse and scripting experience in Python.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets.

• Execute foundational statistical methods to evaluate new containerized and workcell system performance against readiness criteria.
• Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous new product questions into structured analyses.
• Identify and onboard data sources from new containerized and workcell systems and define NPI-relevant metrics.
• Author recommendation-focused whitepapers and deep-dive analyses that inform new product development decisions.
• Design, build, and maintain dashboards and reporting solutions that track new containerized and workcell products through their development phases.
• Maintain a deep understanding of data lineage across BI solutions and optimize scripts to streamline BI processes.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.