Business Intelligence Engineer, Amazon Robotics

Job summary

DESCRIPTION We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Amazon Robotics.

Benefits

Qualifications

• We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Amazon Robotics.
• You are a collaborative problem-solver who thinks holistically about how new systems evolve from prototype to production and uses data to accelerate that journey.
• 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
• 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
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers.
• If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Responsibilities

• In this role, you will bring a strong foundation in statistics to support the introduction of new containerized and workcell robotic products — from early concept through deployment.
• Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous new product questions into structured analyses that support milestone decisions.
• Data Source Development: Identify and onboard data sources from new containerized and workcell systems as they come online, define NPI-relevant metrics, and build data pipelines that enable performance tracking.
• A day in the life
• You will create and optimize scripts (SQL, Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization

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