As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
Amazon Physical Stores is more start-up than big-company, a group of entrepreneurial, analytical, and creative leaders with innovation at our core. We’re pushing the state of the art in helping customers shop in engaging, fast, and safe ways. To date we’ve created stores that let you use an app to enter, take what you want from our fresh selection, and go (Amazon Go); a smart shopping cart that uses computer vision algorithms and sensor fusion to let you skip the checkout line (Amazon Dash Cart); and contactless services that let you pay, enter or identify yourself (Amazon One). Note: The specific team is internally and tech focused to delivery scalable solutions.
Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.
Key job responsibilities
The Senior Business Intelligence Engineer (Sr. BIE) on the Amazon Just Walk Out (JWO) team is a strategic technical leader responsible for designing and delivering scalable business intelligence solutions that drive data-informed decision-making across the JWO organization. This role combines deep technical expertise in data engineering, analytics, and visualization with strong business acumen to transform complex data into actionable insights. The Sr. BIE partners with leadership, product teams, operations, and engineering to build robust reporting frameworks, automate data pipelines, and enable self-service analytics that support the growth and optimization of Amazon's cashierless retail technology platform.
Business Intelligence Strategy & Leadership
Define and execute the BI roadmap for the JWO team, aligning analytics capabilities with business objectives and strategic priorities
Serve as a trusted advisor to senior leadership, providing data-driven insights and recommendations on store performance, expansion strategies, and operational efficiency
Identify high-impact opportunities to leverage data and analytics to solve complex business problems and drive measurable outcomes
Mentor and guide junior BIEs and analysts, fostering a culture of data excellence and continuous improvement
Data Architecture & Pipeline Development
Design and implement scalable, automated ETL/ELT pipelines to process large volumes of data from JWO stores, payment systems, and operational platforms
Build and maintain robust data models and warehousing solutions using AWS services (Redshift, S3, Glue, Athena) to support analytics and reporting needs
Establish data quality frameworks and monitoring systems to ensure accuracy, completeness, and reliability of business-critical datasets
Optimize data processing workflows for performance, cost-efficiency, and scalability
Dashboard & Reporting Solutions
Develop and maintain comprehensive dashboards and reporting frameworks in Amazon QuickSight to track KPIs including store performance, customer metrics, inventory health, supply chain operations, and financial performance.
Create executive-level scorecards and WBR (Weekly Business Review) materials that provide clear visibility into business health and trends
Build self-service analytics tools that empower stakeholders across the organization to access and analyze data independently
Automate manual reporting processes to eliminate inefficiencies and reduce time-to-insight
Advanced Analytics & Insights
Conduct deep-dive analyses on complex business questions related to store launches, customer behavior, operational bottlenecks, and technology performance
Develop statistical models and forecasting frameworks to predict store performance, demand patterns, and resource requirements
Perform root cause analysis on operational issues, identifying trends and recommending data-driven solutions
Design and analyze A/B tests and experiments to measure the impact of new features, processes, and interventions
A day in the life
Cross-Functional Partnership & Stakeholder Management
Collaborate with product managers, operations leaders, and engineering teams to understand business requirements and translate them into technical solutions
Partner with data science teams to productionize machine learning models and integrate predictive analytics into reporting frameworks
Communicate complex technical concepts and analytical findings to non-technical audiences through compelling data visualizations and narratives
Gather requirements from stakeholders and prioritize BI initiatives based on business impact and feasibility
Operational Excellence & Automation
Drive automation initiatives to eliminate manual data processing and reporting interventions, similar to successful projects like Global Education automation
Build monitoring and alerting systems to proactively identify data anomalies, pipeline failures, and business metric deviations
Establish best practices and standards for BI development, documentation, and code management
Continuously improve existing dashboards and reports based on user feedback and evolving business needs
Business Domain Expertise
Develop deep understanding of JWO business operations including store launches, supply chain logistics, inventory management, customer experience metrics, and financial performance
Stay current with retail industry trends, competitive landscape, and emerging technologies in cashierless retail
Contribute to strategic planning by providing data-driven insights on market opportunities, operational challenges, and technology investments
Support compliance and audit requirements by ensuring data governance and traceability
Innovation & Continuous Improvement
Explore and implement new BI tools, technologies, and methodologies to enhance analytics capabilities
Identify opportunities to leverage AI/ML, natural language processing, and advanced visualization techniques
Drive adoption of modern data practices including data mesh, semantic layers, and real-time analytics
Contribute to the broader Amazon BI community through knowledge sharing and best practice development
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
