Business Intelligence Engineer, Amazon Robotics

Amazon.com Inc

Westboro, MA

JOB DETAILS
SKILLS
Analysis Skills, Business Intelligence, Data Analysis, Data Management, Data Quality, Data Science, Documentation Standards, Experiment Design, Metrics, Problem Solving Skills, Process Development, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Robotics, Scripting (Scripting Languages), Software Development Lifecycle (SDLC), Source Code/Configuration Management (SCM), Standard Operating Procedures (SOP), Standards Development, Statistics, Structured Analysis, Systems Administration/Management, Team Player, Technical Support, Technology Analysis, Test Design, Testing, United States Department of Energy (DOE), Unix Shell Programming, White Papers, Writing Skills
LOCATION
Westboro, MA
POSTED
12 days ago

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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles