Analytics Engineer 5 - Ads

Netflix is a leading entertainment company dedicated to pushing the boundaries of storytelling and technology. They are seeking a Senior Analytics Engineer to design metrics, conduct deep dive analyses, and provide recommendations to enhance ad personalization and drive successful analytics initiatives in their new ad-supported tier.

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

Requirements:

• 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