✦ Luna Orbit — Data & Analytics

Principal Sales Specialist, Analytics, Enterprise Accounts

at Amazon.com

📍 US, IL, Chicago Unknown Posted March 14, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves driving data analytics initiatives using AWS services, including data warehouses, lakes, and ML workflows, to enable business transformation.

  • Drive revenue in analytics
  • Develop account plans
  • Create data solutions
  • Educate customers on AWS analytics
  • Support AI/ML deployment

Focuses on AWS data services such as Redshift, Athena, EMR, Glue, Lake Formation, and SageMaker for analytics and ML.

The ideal candidate is a mid-level data & analytics specialist with experience in AWS data services, capable of designing and implementing data warehouses, lakes, and ML workflows, and communicating complex solutions to stakeholders.

AWSData & AnalyticsSQLData WarehouseETLMachine LearningCustomer Engagement
AI/MLData LakeBusiness Case DevelopmentFinancial JustificationData Foundation
Amazon RedshiftAmazon AthenaAmazon EMRAWS GlueAWS Lake FormationAWS SageMaker StudioAmazon KinesisAmazon MSKAmazon OpenSearch Service
Amazon RedshiftAmazon AthenaAmazon EMRAWS GlueAWS Lake FormationAWS SageMaker StudioAmazon KinesisAmazon MSKAmazon OpenSearch ServiceSQLETLData LakeMachine Learning
Amazon RedshiftAmazon RedshiftAmazon AthenaAmazon EMRApache SparkHivePrestoAWS GlueAWS Lake FormationAWS SageMaker StudioAmazon KinesisAmazon MSKAmazon OpenSearch ServiceAI/MLData WarehouseSQLServerlessETLData LakeMachine LearningData AnalyticsBusiness Case DevelopmentFinancial Justification
Strategic ThinkingCustomer FocusCommunicationCollaborationProblem-solvingBusiness Acumen
Industry Technology / Data & Analytics
Job Function Data & analytics solutions development and customer success
Amazon RedshiftAmazon AthenaAmazon EMRAWS GlueAWS Lake FormationAWS SageMaker StudioAmazon KinesisAmazon MSKAmazon OpenSearch ServiceData WarehouseSQLETLData LakeMachine LearningAI/MLBusiness CaseFinancial JustificationData & AnalyticsAWS

Lack of AWS data services experience, No background in data warehousing or analytics, Inability to communicate technical solutions to business teams

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