Description :

Role Overview :

We are seeking a Data Analyst who can bridge business needs with AI-driven agent capabilities. This role focuses on translating business questions into structured data requirements, validating agent-generated outputs, and ensuring analytical accuracy. You will play a key role in defining use cases and enabling agents to deliver meaningful, reliable insights.

Key Responsibilities :

- Translate business problems into clear data requirements and analytical frameworks

- Collaborate with stakeholders to define and refine AI/agent-driven use cases

- Validate and benchmark agent outputs against expected analytical results

- Perform deep-dive analysis to ensure data accuracy, consistency, and relevance

- Write and optimize complex SQL queries for data extraction and analysis

- Work closely with Data Engineers to ensure proper data availability and structure

- Support the development of semantic layers aligned with business metrics

- Identify gaps between stakeholder expectations and agent capabilities, and propose practical solutions

Required Skills & Qualifications :

- Strong proficiency in SQL and experience working with Snowflake

- hands-on Python coding proficiency is mandatory

- Solid experience in data analysis, reporting, and business insights generation

- Ability to translate ambiguous business questions into structured analytical problems

- Strong understanding of data validation, quality checks, and reconciliation techniques

- Experience working with large datasets in modern data environments

- Excellent communication skills to interact with both technical and non-technical stakeholders

Preferred Qualifications :

- Exposure to AI/LLM-based systems or agent-driven workflows

- Familiarity with prompt design for analytical tasks

- Experience with BI tools (e.g., Tableau, Looker, Power BI)

- Understanding of data modeling and semantic layer concepts

- Experience in experimentation, A/B testing, or metrics definition