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 bring a strong foundation in statistics to support the introduction of new containerized and workcell robotic products — from early concept through deployment. You will partner closely with cross-functional stakeholders to translate ambiguous questions about new product performance into structured analyses, and author recommendation-focused deliverables that inform program decisions and shape how new robotic systems progress through RST's development lifecycle. You will design, develop, and maintain dashboards, reports, and other analytics artifacts purpose-built for new product introduction — tracking system maturity, surfacing readiness gaps, and enabling data-driven milestone decisions. 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.
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
- Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments, and regression analysis to evaluate new containerized and workcell system performance against readiness criteria at each development phase.
- Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous new product questions into structured analyses that support milestone decisions.
- 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.
- Author recommendation-focused whitepapers and deep-dive analyses that inform new product development decisions — including system configuration trade-offs, readiness assessments, and deployment strategy recommendations.
- Design, build, and maintain dashboards and reporting solutions that track new containerized and workcell products through their Alpha, Beta, and General Availability phases, providing visibility into system maturation and operational readiness.
- Own major components of the BAND team's NPI analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that track new products from through General Availability.
- Maintain a deep understanding of data lineage across BI solutions — from the telemetry and event streams generated by new containerized and workcell systems, through metric aggregation processes, to how insights are consumed at milestone reviews and program readiness gates.
- Create and optimize scripts (SQL, Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse new product evaluation needs.
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
Mid Level
Education Level
No Education Listed
