Analytics Engineer

Analytics Engineer – Conversational Analytics POC

Role: Analytics Engineer

Experience: 5+ Years

Work Mode: Remote

About the Role:

We are looking for a hands-on Analytics Engineer to build and validate a conversational analytics POC using Amazon Quick and existing AWS data.

The role focuses on enabling business users to ask natural-language questions and receive accurate, explainable answers from business data.

Key Responsibilities:

• Configure Amazon Quick with AWS data using Amazon Athena and S3.
• Build and refine semantic models, measures, relationships, terminology, and business rules.
• Configure topics, spaces, agents, and instructions for business use cases.
• Create and test natural-language business questions.
• Validate AI-generated answers and SQL against source data.
• Troubleshoot incorrect responses and improve semantic configurations.
• Test data access and security scenarios.
• Document POC results, limitations, and recommendations.
• Support technical and business demonstrations.

Required Skills:

• Strong experience in Analytics Engineering / BI Engineering.
• Excellent SQL and analytical problem-solving skills.
• Hands-on experience with AWS Analytics, especially Athena and S3.
• Strong knowledge of data modelling and semantic modelling.
• Experience with Conversational Analytics, Generative BI, or Natural Language Querying.
• Ability to work independently in a short, outcome-focused POC.
• Strong communication and stakeholder management skills.

Good to Have:

• Experience with Amazon Quick / QuickSight.
• Experience with Apache Iceberg or Parquet.
• Experience validating AI-generated analytics for accuracy and explainability.