Analytics Engineer (L6) - Ads DSE, Live Events

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

In Nov 2022, we launched a new lower-priced, ad-supported tier for our customers. We are now continuing to build on our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!

The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0 -1 space.

We are seeking a Staff Analytics Engineer to lead end-to-end analytics initiatives for the rapidly growing Live Events space at Netflix, including NFL, WWE, and other premium live content. This is a greenfield opportunity to build foundational metrics, drive reporting strategy, and shape the impact science behind one of the most exciting frontiers in entertainment. You will partner closely with cross-functional teams—product, engineering, data science, content, and ads—to define how we measure success, optimize viewer engagement, and guide strategic decisions. As a key leader in this space, you will be instrumental in building the future of Ads on Live, a critical and emerging area for Netflix. Your work will have a direct and lasting impact on how we launch, monetize, and scale live programming globally.

In this role, you will:

• Lead the analytics vision for Netflix Live Events, defining and implementing end-to-end analytics frameworks, core metrics, and reporting tools that enable strategic decision-making across Live programming and Ads on Live.

• Build a scalable roadmap for live content analytics, delivering real-time, actionable insights that inform product experiences, audience engagement, ad monetization, and content strategy across high-stakes events.

• Develop deep cross-functional partnerships across product, engineering, data science, content, and ads teams to align on business goals, technical execution, and measurement success criteria.

• Deliver technically robust solutions using a mix of data modeling, experimentation, statistical methods, and strong documentation practices, all grounded in business impact and contribution to the broader Data Science & Engineering community.

• Act as a thought leader and domain expert in live content analytics, helping Netflix pioneer scalable measurement approaches for emerging formats, with a focus on innovation, repeatability, and long-term business value.

We are looking for:

• Advanced training in a quantitative field (Data Science, Statistics, Mathematics, Engineering, Physics, Economics, etc.) or commensurate work experience.

• Leadership (staff level) experience with large-scale data, with a proven ability to lead cross-functionally, work independently, and galvanize others.

• Extensive experience in live content and adtech analytics, with a strong understanding of programmatic advertising and large-scale streaming ecosystems.

• Communication superpower — the ability to communicate, influence, and connect the dots between insights and actions across a variety of stakeholders.

• Fluency in SQL, workflow orchestration tools like Apache Airflow, and at least one analytics and scripting language like Python.

• Mentors, brainstorms with, and enables others, especially within your functional area.

• Actively builds and fosters technical communities internally (e.g., horizontal forums, seminars, and summits) and externally (e.g., conference participation).

• Exemplary stewardship of Netflix’s culture and values, particularly in terms of selflessness and ensuring open debate of ideas and encouraging inclusion of a variety of perspectives regardless of seniority.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $400,000 - $960,000.

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 detail about our Benefitshere.

Netflix has a unique culture and environment. Learn morehere.

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 diversitybuilds 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.