✦ Luna Orbit — Data & Analytics

Analytics Engineer (AI), Reverse Logistics (RL)

at Amazon.com

📍 US, CA, Sunnyvale Unknown Posted March 28, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves developing AI-driven analytics platforms for Amazon Devices Reverse Logistics, focusing on natural language querying, automated insights, and scalable data solutions.

  • Build and evolve AI analytics platform
  • Design agentic solutions for reverse logistics
  • Curate foundational data layers
  • Partner with data engineering teams
  • Document AI best practices

The technical environment includes AWS cloud services, Python programming, AI/ML frameworks, and data governance tools to build intelligent, scalable analytics systems.

The ideal candidate is a mid-level data engineer with expertise in AWS cloud services, AI-augmented analytics, and machine learning. They should have strong skills in building scalable data platforms, data governance, and natural language processing.

PythonAWS services (SageMakerBedrockLambda)AI-augmented analyticsData governanceMachine learningNatural language queryingBuilding scalable data platforms
Generative AIMulti-agent frameworksAI/ML integrationData modelingSemantic data layersAI monitoringProactive alerting
Amazon Quick SuiteKiroAWSSageMakerBedrockLambda
PythonAWSSageMakerBedrockLambdaAI-augmented analyticsNatural language queryingData governanceMulti-agent frameworksData modeling
PythonAWSAmazon Web ServicesSageMakerBedrockLambdaNatural Language ProcessingAI-augmented analyticsMulti-agent frameworksData governanceBI engineeringGenerative AIMachine LearningData modelingETL pipelinesAI tools
CommunicationCollaborationProblem-solvingAnalytical thinkingTeamworkDocumentationInnovation
Industry E-commerce / Retail / Logistics
Job Function Developing AI-powered analytics solutions for logistics data
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Python, AI & Machine Learning, Data Governance
Analytics EngineerAI-augmented analyticsNatural language queryingMachine learningAWSAmazon Web ServicesSageMakerBedrockLambdaData governanceSemantic data layerMulti-agent frameworksAI toolsData modelingETL pipelinesAI monitoringnatural language queryingmachine learningPythondata governancesemantic data layermulti-agent frameworks

Lack of experience with AWS services, No background in AI or machine learning, No experience in data governance, Unfamiliarity with natural language querying, No programming skills in Python

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