Data Analyst

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