Analytics Engineer 5 - Ads Technical Measurement and Quality

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We want to provide a seamless, high-quality advertising experience for members across devices and advertising formats.   Supporting such a broad range of experiences requires intricate coordination of systems behind the scenes across ads serving infrastructure, content delivery platforms, and client-side rendering. Our Client Data Science & Engineering team uses some of Netflix’s largest datasets to generate insights about the end-to-end advertising experience and the systems that underpin it. Our end goal is to drive higher-quality experiences across the variety of devices and networks our global members use. We’re looking for an analytics engineer to uplevel our quality of experience (QoE) instrumentation for Netflix ads, shepherding it from telemetry on user devices all the way through to high-visibility dashboards that are used by our engineering and business teams to monitor and improve the Netflix experience.

In this role, you will:

• Be at the forefront of using analytics and data engineering skills to ensure that advertising QoE data can be used effectively across the company.
• Act as the core steward of ads QoE, focusing on instrumentation, monitoring, understanding the user experience as it evolves within our product, and influencing best practices for producers and consumers.
• Collaborate with product engineering teams, data engineering, and data scientists to develop new ways of measuring how users perceive performance.

To be successful in this role, you have:

• Passion for exploring and building highly technical datasets and logging.
• Experience with creating clear written and visual technical documentation of user flow and how it is instrumented.
• Exceptional spoken and written communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.
• High fluency in SQL and proficiency with Python, along with experience building data pipelines.
• Familiarity with software engineering practices (experience with data processing and tool development at scale is a plus).
• Comfort with ambiguity; ability to thrive with minimal oversight and process.

To learn more about our team, read here.

Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.