Data Analyst (NL-SQL)
Innodata Inc.
0 - 3 years
Alipur
Posted: 16/05/2026
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Job Description
Data Analyst (Contractual-2 Months)
Responsibilities:
- Dive deep into existing dashboards to understand the underlying data, key metrics, and typical user interactions.
- Infer and document common user journeys and potential questions (use cases) users would ask of the data presented in the dashboards.
- Translate identified use cases into precise Natural Language (NL) prompts.
- Develop accurate and efficient SQL queries that correctly retrieve the data to answer the NL prompts, exploring table schemas and business rules as needed.
- Create, label, and validate a large volume of high-quality NL-SQL pairs.
- Collaborate with business stakeholders and dashboard owners to confirm use cases, clarify business logic, and refine NL prompts.
- Proactively identify and explore new potential use cases and insights from the dashboards.
- Utilize AI-powered tools and techniques to enhance efficiency and quality in the NL-SQL pair generation process.
- Document findings, schemas, and business rules encountered.
Qualifications:
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Informatics, Engineering) or equivalent practical experience.
- 3+ years of experience in data analysis, business intelligence, or a similar role.
- Strong proficiency in SQL, including writing complex queries, joins, and aggregations.
- Proven ability to analyze and interpret data presented in dashboards and reports.
- Excellent communication and interpersonal skills, with the ability to facilitate discussions with technical and non-technical stakeholders.
- Analytical and inquisitive mindset with a passion for understanding data and user needs.
- Experience with or a strong interest in AI and machine learning concepts.
- Ability to work independently and manage multiple tasks in a fast-paced environment.
Preferred Qualifications:
- Familiarity with Data Center operations, metrics, or data.
- Experience with data labeling or dataset creation for machine learning models.
- Familiarity with data platforms and tools.
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