Description :

Role : Data Analyst

Experience : 5+ Years

Location : Remote (India)

Notice Period : Immediate Joiners Only

Role Overview :

We are seeking an experienced Data Analyst with strong expertise in SQL, product analytics, and BigQuery to support the development of realistic AI benchmarking environments. The ideal candidate should possess deep knowledge of product event data systems, dimensional modeling, and data quality troubleshooting in large-scale analytics ecosystems.

In this role, you will help design and validate realistic data environments that mirror production-grade analytical systems. You will be responsible for creating and reviewing BigQuery schemas, event taxonomies, SQL queries, metric definitions, and data artifacts while ensuring technical accuracy and practical usability.

Key Responsibilities :

- Design and define scalable BigQuery schemas and analytical data models.

- Build and optimize complex SQL queries using CTEs, joins, and window functions.

- Create and maintain dimensional data models including fact and dimension tables.

- Work with product event tracking platforms such as Segment, Amplitude, or Mixpanel.

- Develop realistic event taxonomies, product metrics, and analytical datasets.

- Identify, troubleshoot, and resolve data quality issues across analytics systems.

- Analyze discrepancies between dashboards, reports, and source systems.

- Collaborate with cross-functional teams to ensure consistency in metric definitions and reporting standards.

- Review analytical artifacts and validate their technical correctness.

- Contribute to AI benchmark development by simulating realistic analytical environments and scenarios.

Required Qualifications :

- 5+ years of experience in Data Analytics or Data Science

- Experience working with large-scale analytical datasets and product data ecosystems

- Strong understanding of product metrics, event tracking, and analytical reporting

- Experience designing realistic and scalable analytical data structures

- Ability to communicate technical concepts and data discrepancies clearly to stakeholders