Key Responsibilities:
Create high-quality Natural LanguageSQL pairs for conversational analytics and dashboard applications.
Translate business questions and dashboard use cases into natural, realistic user queries and corresponding SQL.
Understand database schemas, table relationships, column definitions, metrics, dimensions, and business rules.
Generate diverse NL-SQL examples covering straightforward, intermediate, and complex analytical use cases.
Create multi-turn conversational examples where follow-up questions depend on previous user context.
Validate SQL generated by AI/LLM systems for:
Syntax correctness
Schema and column accuracy
Join correctness
Filtering and aggregation logic
Date/time logic
Metric calculations
Business-rule adherence
Semantic alignment with the user's question
Query-result correctness

Required Skills:




Strong proficiency in SQL and analytical SQL.
Robust understanding of relational databases and data modeling.
Experience with BI/dashboard analytics or reporting.
Solid analytical and problem-solving skills.
Excellent attention to detail.
Ability to understand business requirements and translate them into SQL logic.
Experience reviewing or validating SQL queries is highly desirable.
Experience with AI/LLM-generated content, text-to-SQL, data annotation, or AI evaluation is a strong plus.
Familiarity with Python or scripting for automated SQL/data validation is a plus.
Experience with Power BI, Tableau, Looker, Snowflake, BigQuery, PostgreSQL, MySQL, or similar technologies is a plus.

📌 Data Analyst 3 Months Contract Remote Noida
🏢 Innodata India
📍 Noida