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Analytics Engineer 5 - Ad Ranking

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Salary

$330,000 - $566,000

Location

Remote

Posted

Yesterday

The Ads Ranking team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers—all while maintaining the exceptional quality and personalization that define the Netflix experience.

As a Senior Analytics Engineer, you’ll design metrics, generate insights by scoping and executing deep dive analysis, and provide recommendations from a rigorous evaluation of product experiments. You’ll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space. This is an exciting opportunity to be an early member of this new business area for Netflix!

Responsibilities

  • Partner with Data Engineers to design and implement robust data models and pipelines that enable richer, faster, and more accurate analysis.

  • Design, build, and maintain scalable, self-service analytics tools and data products to drive adoption across the business.

  • Develop, define, and maintain key metrics and dashboards for executive and business-critical reporting.

  • Analyze and interpret data to understand and improve the efficiency of the ads marketplace, providing recommendations to optimize ad delivery, performance, and revenue.

  • Develop and maintain observability and monitoring solutions for machine learning models, ensuring model performance, reliability, and early detection of anomalies or drift.

  • Enable A/B testing and experimentation by building robust data pipelines and providing accurate experiment tracking.

  • Proactively identify gaps and opportunities for innovation in analytics engineering, and drive initiatives to address them.

  • Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility.

  • Translate complex data insights and technical concepts into clear, actionable recommendations for technical and non-technical stakeholders.

Qualifications

  • A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 5+ years of experience in data engineering, data science, analytics engineering, or a similar data field.

  • Proficiency in SQL and at least one programming language (Python preferred).

  • Experience with modern data warehousing (e.g., Redshift, BigQuery, Snowflake).

  • Familiarity with data modeling, ETL frameworks, and analytics tools.

  • Strong communication skills and ability to translate business needs into technical requirements.

  • Comfortable with ambiguity; able to thrive with minimal oversight and process

  • Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.

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