Robotics Business Intelligence Engineer, Amazon Robotics

About the position

We are looking for an experienced and eager data and insights professional with a proven track record of delivering impactful solutions to complex and ambiguous problems. A practiced researcher, who uses data engineering, statistics, systems knowledge, and data visualization to guide choice selections for cross-functional stakeholder teams. We are seeking a partnership-focused person who can think holistically through complex problems to grasp how systems work together to identify improvements to robotic architecture or design.

Responsibilities

• Guide Amazon's newest robotic technologies through their Alpha, Beta, and General Availability phases of new product and solution development.
• Search out new data sources, develop new metrics, create dashboards, write recommendation-focused whitepapers, and develop a deep comprehension of robotic systems to inform findings and assist operations customers.
• Partner cross-functionally with engineering teams and program managers to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses.
• Use a combination of unified and disparate data sources to uncover insights delivered through option and data evaluation white-papers and automated data visualizations to influence the development and deployment of new robotic technology.
• Partner with Data Scientists, Data Engineers, and Program Managers to define and deliver world-class evaluation tools and insights to shape the robotic technology landscape.

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 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 (Python) to process data for modeling

Nice-to-haves

• 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

Benefits

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