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Analytics Engineer 5 – Ads Revenue Analytics

Analytics EngineerAnalytics EngineerFull TimeRemoteTeam 10,001+Since 1997H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

6 days ago

Salary

$330K - $566K / year

EnglishAirflowApachePythonSQL

Job Description

• Lead the analytics vision for unified revenue measurement across Netflix Ads, designing and implementing frameworks to harmonize, quantify, and report on diverse revenue streams, including new content formats Netflix is launching. • Act as the lead Semantic Architect for revenue, driving consensus across Finance & Strategy, Accounting, and Product, and codifying those agreed-upon definitions into the Ads Metrics Catalog (AMC). • Build scalable, transparent data models and dashboards—in partnership with Data Engineering—that provide real-time and periodic insights into revenue streams. • Drive the narrative around how core revenue definitions impact downstream performance metrics, conducting deep-dive research to explain the why behind metric movements. • Act as a subject matter expert in revenue analytics, piloting scalable solutions for complex treatments, and driving innovation in how Netflix measures and communicates advertising revenue. • Serve as the integration layer for revenue data, aggregating, harmonizing, and exposing the overarching executive revenue views in core reporting surfaces.

Job Requirements

  • Experience working with financial datasets, revenue accounting, or ad-tech monetization analytics.
  • A “Data Product Owner” mindset.
  • Communication superpower — the ability to communicate, influence, and connect the dots between insights and actions across a variety of stakeholders.
  • Fluency in SQL, workflow orchestration tools like Apache Airflow, and at least one analytics and scripting language like Python.
  • A proven track record of balancing the need to move quickly with the high rigor and accuracy required for executive and financial reporting.
  • Strong analytical rigor combined with the ability to conduct independent research and explain complex metric variances to senior leadership.
  • Experience building or working with semantic modeling tools like LookML for creating and managing metric contracts is a plus.
  • Curiosity or practical experience building with emerging AI technologies (e.g., Agentic AI) is a plus.

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 salaried employees

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