Analytics Engineer 5 – Ads Reporting, Metric Standards
Job Description:
• Own the analytics foundation for advertiser-facing reporting
• Drive shared metric consistency across the ad platform
• Act as steward for cross-module metric consistency
• Build and extend the Ads Metric Catalog into the ad platform
• Partner closely with Campaign Reporting PM and Data Engineering
• Represent reporting and metric standards on cross-team councils
• Participate in cross-functional governance to ensure metric consistency
Requirements:
• Full-stack data fluency in SQL, Python
• Experience with semantic modeling and metric computation
• Exposure to columnar analytics stores (e.g., Druid)
• Familiarity with lakehouse architectures (e.g., Iceberg)
• Metric governance experience with semantic modeling (LookML, DataJunction, or equivalent)
• A product-minded approach to metrics
• Ability to communicate and influence across teams
• Workflow orchestration experience with tools like Apache Airflow or Maestro
• API fluency including GraphQL and REST
• Awareness of external data quality standards (e.g., MRC)
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Flexible time off for full-time salaried employees
Apply tot his job
Apply To this Job
• Own the analytics foundation for advertiser-facing reporting
• Drive shared metric consistency across the ad platform
• Act as steward for cross-module metric consistency
• Build and extend the Ads Metric Catalog into the ad platform
• Partner closely with Campaign Reporting PM and Data Engineering
• Represent reporting and metric standards on cross-team councils
• Participate in cross-functional governance to ensure metric consistency
Requirements:
• Full-stack data fluency in SQL, Python
• Experience with semantic modeling and metric computation
• Exposure to columnar analytics stores (e.g., Druid)
• Familiarity with lakehouse architectures (e.g., Iceberg)
• Metric governance experience with semantic modeling (LookML, DataJunction, or equivalent)
• A product-minded approach to metrics
• Ability to communicate and influence across teams
• Workflow orchestration experience with tools like Apache Airflow or Maestro
• API fluency including GraphQL and REST
• Awareness of external data quality standards (e.g., MRC)
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Flexible time off for full-time salaried employees
Apply tot his job
Apply To this Job