Amazon.com Services LLC
Technology
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Statistical Analysis. Design dashboards. Build dashboards”
What You'll Achieve.
Enable data-driven decisions; Ensure BI solutions remain scalable; Ensure BI solutions remain reliable; Ensure BI solutions remain maintainable; Evaluate robotic system performance; Identify improvements to architecture; Identify improvements to design; Identify improvements to operational readiness; Enable cross-program comparisons; Support engineering evaluations; Support program decisions; Inform technology development decisions; Shape RST roadmap; Drive development of systems; Drive deployment of systems; Influence technology development decisions; Shape future of technology
Industry & Context.
Problem-solver; Data-driven decision making; Root cause analysis
What They're Looking For.
Must Have
3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with Tableau, Experience with Quicksight, Experience writing complex SQL queries, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python
Nice to Have
Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience in ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets
What You'll Do.
Develop reporting solutions
Serve RST robotic solutions
Develop Standard Operating Procedures
Manage dashboard lifecycle
Implement version control
Establish data validation standards
Monitor refresh schedules
Manage stakeholder access
Manage deprecation workflows
Identify new data sources
Onboard new data sources
Enable cross-program comparisons
Collaborate with Data Scientists
Collaborate with Data Engineers
Collaborate with Program Managers
Collaborate with engineering teams
Translate business questions
Execute statistical methods
Support engineering evaluations
Support program decisions
Deliver deep-dive analyses
Inform technology development
Contribute to data architecture
Drive development of systems
Drive deployment of systems
Build operational dashboards
Document data lineage
Document refresh schedules
Run designed experiments
Evaluate system configuration changes
Maintain data lineage understanding
Streamline BI processes
Select analytics tools
Select visualization tools
Influence technology development
Shape future technology
How You'll Work.
Team & Collaboration
Collaborate with Data Scientists; Collaborate with Data Engineers; Collaborate with Program Managers; Collaborate with engineering teams
Communication Scope
Stakeholder communication
Process & Methodology
Roadmap planning
Full Job Description
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 Analys
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