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 .
- Solid 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.

📌 Analytics Engineer (India)
🏢 Sourcebae
📍 India