[Remote] Analytics Engineer (L5) - Simulator (Pricing)

Note: The job is a remote job and is open to candidates in USA. Netflix is one of the world's leading entertainment services, with over 300 million paid memberships globally. The Senior Analytics Engineer will design metrics, provide insights through deep dive analysis, and collaborate with partner teams to enhance end-to-end analytics initiatives for the 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. Skills • A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 3+ 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. Company Overview • Netflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Netflix has a track record of offering H1B sponsorships, with 230 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job