The analytics engineer role at Netflix focuses on enhancing the quality of experience (QoE) for advertising through effective data instrumentation and monitoring. The Client Data Science & Engineering team aims to provide high-quality advertising experiences across various devices and formats. This position involves collaboration with product engineering, data engineering, and data scientists to measure user performance perceptions. The ideal candidate will leverage their technical skills to transform complex datasets into actionable insights.

• Passion for exploring and building highly technical datasets and logging.
• Experience with creating clear written and visual technical documentation of user flow and instrumentation.
• Exceptional spoken and written communication skills with both technical and non-technical audiences.
• High fluency in SQL and proficiency with Python, along with experience building data pipelines.
• Familiarity with software engineering practices, especially in data processing and tool development at scale.
• Comfort with ambiguity and ability to thrive with minimal oversight.

• Ensure that advertising QoE data can be used effectively across the company.
• Act as the core steward of ads QoE, focusing on instrumentation and monitoring.
• Understand the user experience as it evolves within the product.
• Influence best practices for producers and consumers of QoE data.
• Collaborate with product engineering teams, data engineering, and data scientists to develop new measurement methods.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.