Analytics Engineer 5 - Ads (Programmatic)

About the Role: At Netflix, our mission is to entertain the world. The Ads Data Science and Engineering team at Netflix's mission is to help build the foundation of the ads business. We are seeking a Senior Analytics Engineer to lead the development and optimization of programmatic signals analytics for Netflix's global Ads business. You will build foundational metrics, dashboards, and analysis frameworks that drive how we measure, understand, and enhance DSP adoption and audience targeting.

What You'll Do

• Drive the analytics strategy for programmatic signals across Netflix Ads, designing frameworks to measure DSP adoption, audience targeting effectiveness, and ROI.
• Build scalable, adaptable dashboards and data models to surface insights on DSP performance and targeting accuracy.
• Partner deeply with cross-functional teams (Product, Engineering, Finance, Data Science) to align on measurement standards, DSP integrations, and fraud prevention.
• Act as a subject matter expert on programmatic signals and DSP analytics, pioneering scalable approaches to targeting measurement and inventory quality.

What You Bring

• Extensive experience in programmatic adtech analytics, with a strong understanding of programmatic advertising and large-scale streaming ecosystems.
• Fluency in SQL, workflow orchestration tools like Apache Airflow, and at least one analytics and scripting language like Python.
• A communication superpower—the ability to communicate, influence, and connect the dots between insights and actions across various stakeholders.
• A collaborative mindset with a proven track record of mentoring others and actively contributing to technical communities.

Benefits

• Top of market compensation range: $330,000 - $566,000 USD per year.
• Choose each year how much of your compensation you want in salary versus stock options.
• Comprehensive Health Plans, Mental Health support, and a 401(k) Retirement Plan with employer match.
• Flexible time off for salaried employees and paid leave of absence programs.
• Fully remote work flexibility within the USA.