Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, alexa and amazon devices
AnalyticsEngineer(AI),ReverseLogistics(RL)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Analytics Engineer (AI), Reverse Logistics (RL) at Amazon.com Services LLC. Skills: Generative AI, Machine learning, Analytics engineering, Multi-agent systems. Build AI-driven analytics platform. Develop intelligent systems”
Industry & Context.
Data-driven decision making; Troubleshooting
What They're Looking For.
Must Have
5+ years analyzing data, 3+ years processing large datasets, Experience using SQL, Scripting experience (Python), Experience in Statistical Analysis packages, Experience with data visualization, Proficiency with AI tools, Building multi-agent systems, Integrating generative AI, Applying reinforcement learning, Applying optimization algorithms, Experience with AWS DevOps/AI/ML services, Deploying RAG applications
Nice to Have
Experience with AWS solutions, Experience in data mining, Experience building ETL pipelines, Experience with Data & AI technologies
What You'll Do.
Build AI-driven analytics platform
Develop intelligent systems
Enable natural language querying
Enable automated insight generation
Enable workflow orchestration
Design agentic solutions
Build intelligent automations
Deliver predictive recommendations
Deliver actionable insights
Deliver proactive alerts
Curate foundational data layers
Implement governance frameworks
Enable AI tools to leverage data
Enhance analytics processes
Explore AI/ML integration
Translate business requirements
Create multi-agent frameworks
Enable tailored querying
Enable analytics access
Establish guidelines for responsible AI use
Implement best practices for model monitoring
Implement A/B testing
Implement continuous improvement
Build and maintain ETL pipelines
Build semantic data models
Experiment with AI/ML tools
Experiment with agentic frameworks
Evaluate capabilities
How You'll Work.
Team & Collaboration
Partner with Data Engineering; Partner with Applied Science; Partner with Strategy; Partner with Product; Stakeholder collaboration
Communication Scope
Communicate findings; Communicate value; Communicate limitations
Full Job Description
The Amazon Devices Reverse Logistics (ADRL) team seeks an Analytics Engineer specializing in AI-augmented analytics – You'll pioneer intelligent agentic systems by building multi-agent frameworks that enable natural language querying, automated insight generation, and intelligent workflow orchestration. You'll establish a curated, certified foundational data layer with robust governance, making Reverse Logistics data seamlessly accessible to AI tools and customers. The ideal candidate combines expertise in generative AI, machine learning, and modern BI engineering—architecting solutions that unlock advanced analytical capabilities while maintaining enterprise-grade quality, security, and scalability. Key job responsibilities • Build and evolve AI-driven analytics platform for ADRL organization – Develop intelligent systems using multi-agent frameworks that enable natural language querying, automated insight generation, and workflow orchestration to accelerate delivery, reduce manual effort, and scale BI solutions • Design and deploy agentic solutions for Reverse Logistics Business – Leverage Python and AWS services (SageMaker, Bedrock, Lambda) to build intelligent automations for business workflows with real-time insights, delivering predictive recommendations, actionable insights, and proactive alerts to executive leadership • Curate foundational data layers and implement governance frameworks – Enable AI tools to leverage high-quality, semantically modeled data for business decision-making across ADRL • Partner with Data Engineering and Applied Science teams – Enhance data sources and analytics processes, explore AI/ML integration opportunities for more scalable and accurate reporting, and translate business requirements into scalable automated solutions • Create multi-agent frameworks serving as self-service hubs – Enable tailored querying and analytics access for all RL stakeholders across organizational data • Document patterns and establish guidelines for resp
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