[Remote] Analytics Engineer 5 - Ad Ranking

Note: The job is a remote job and is open to candidates in USA. Netflix is a leading entertainment company focused on pushing the boundaries of storytelling and technology. The Senior Analytics Engineer will design metrics, generate insights, and provide recommendations to enhance ad personalization and drive impactful results for advertisers.

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

Skills

• 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

Benefits

• Health Plans
• Mental Health support
• A 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
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off

Company Overview

Company H1B Sponsorship