Analytics Engineer 5 – Ads Reporting, Metric Standards

Netflix
US
Remote

Job Description

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

Skills & Requirements

Technical Skills

SQLPythonsemantic modelingmetric computationcolumnar analytics storeslakehouse architecturesmetric governanceworkflow orchestrationAPI fluencyGraphQLRESTexternal data quality standardscommunicationinfluenceproduct-minded approachadvertisingdata engineeringcampaign reportingmetric standards

Salary

$100,000 - $160,000

year

Level

senior

Posted

3/28/2026

Apply Now

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