Business Intelligence Engineer, Amazon Robotics

Business Intelligence Engineer

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.

Key job 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.

A day in the life:

You will own major components of the BAND team's analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions — from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape the future of Amazon's robotic storage technology landscape.

About the team:

Robotic Storage Tech (RST) invents, designs, and develops transformational storage solutions used in the Amazon Logistic Network. We will realize the next generation of automated containerized systems, and optimize our existing install base. We are a team of talented engineers, product evangelists, and creators focused on technologies that make inventory pick, stow, and count safer and more efficient for Amazon. We deliver value with our elite robotic technologies because we listen and respond to our many customers, develop robust and reliable solutions, and invest in both our people and our products.

Basic Qualifications:

• 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

Preferred Qualifications:

• 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 you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at

USA, MA, Westboro - 99,500.00 - 160,000.00 USD annually