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 simple, 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.
- Strong 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