Business Intelligence Engineer, Amazon Robotics
About The Position
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. In this role, you will serve as the BI owner for RST's portfolio of robotic solutions — designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics — including hypothesis testing, design of experiments, and exploratory data analysis — to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness.
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
Responsibilities
- BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all RST robotic solutions through their Alpha, Beta, and General Availability phases.
- Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management — including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows — to ensure long-term health and scalability of the team's BI portfolio.
- Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons.
- Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting.
- Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions.
- Whitepaper & Insights Delivery: Author recommendation-focused whitepapers and deep-dive analyses that inform technology development decisions and shape RST's roadmap.
Benefits
- sign-on payments
- restricted stock units (RSUs)
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
