Data Analyst
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.
Mandatory Skills
Strong SQL expertise including:
Complex queries
CTEs (Common Table Expressions)
Window functions
Strong understanding of dimensional modeling:
Fact tables
Dimension tables
Experience with product event analytics platforms:
Segment
Amplitude
Mixpanel
Hands-on experience with BigQuery
Expertise in handling data quality challenges and implementing resolution strategies
Strong analytical and problem-solving abilities
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
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.
Mandatory Skills
Strong SQL expertise including:
Complex queries
CTEs (Common Table Expressions)
Window functions
Strong understanding of dimensional modeling:
Fact tables
Dimension tables
Experience with product event analytics platforms:
Segment
Amplitude
Mixpanel
Hands-on experience with BigQuery
Expertise in handling data quality challenges and implementing resolution strategies
Strong analytical and problem-solving abilities
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