Netflix is one of the worlds 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.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 Senior Analytics Engineer to lead the development and optimization of consent analytics for Netflix’s global Ads business. In this highly impactful role, you will build the foundational metrics, dashboards, and analysis frameworks that drive how we measure, understand, and improve user consent across multiple products and regions. You will collaborate closely with product, engineering, finance, and research teams to inform business-critical decisions around consent flows, regulatory compliance, and monetization strategies. As a subject matter expert, you will play a pivotal role in shaping the analytics vision for consent management—enabling Netflix to adapt to evolving privacy landscapes, maximize ad revenue, and deliver trusted experiences to our members worldwide. Your insights and technical leadership will directly influence the future of privacy and personalization at Netflix.In this role, you will:<ul><li>Drive the analytics strategy for consent management across Netflix Ads, designing and implementing frameworks to measure, optimize, and report on user consent rates, re-consenting initiatives, and the financial impact of opt-in/opt-out behaviors across diverse user segments and geographies.</li><li>Build scalable, adaptable dashboards and data models to surface real-time insights on consent trends, A/B test outcomes, and the effectiveness of consent interstitial designs, informing both product optimization and monetization strategies for Ads and Live Events.</li><li>Partner deeply with cross-functional teams—including Product, Engineering, Finance, XD, and Consumer Insights—to align on business requirements, technical execution, and measurement standards for consent flows, vendor list management, and regulatory compliance.</li><li>Deliver robust analyses and predictive models that enable proactive consent optimization, such as targeted messaging, demographic/behavioral segmentation, and event-specific consent strategies, ensuring actionable insights for key business decisions and future regulatory shifts.</li><li>Act as a subject matter expert on consent analytics, and pioneering scalable approaches to consent measurement, dashboarding, and universal opt-out monitoring (e.g., Global Privacy Control), with an emphasis on innovation, transparency, and long-term business value.</li></ul>We are looking for:<ul><li>Extensive experience in programmatic adtech analytics, with a strong understanding of programmatic advertising and large-scale streaming ecosystems.</li><li>Communication superpower — the ability to communicate, influence, and connect the dots between insights and actions across a variety of stakeholders.</li><li>Fluency in SQL, workflow orchestration tools like Apache Airflow, and at least one analytics and scripting language like Python.</li><li>Mentors, brainstorms with, and enables others, especially within your functional area.</li><li>Actively contributes and fosters technical communities internally (e.g., horizontal forums, seminars, and summits) and externally (e.g., conference participation).</li><li>Exemplary stewardship of <a href="https://jobs.netflix.com/culture" target="_blank">Netflix’s culture and values</a>, particularly in terms of selflessness and ensuring open debate of ideas and encouraging inclusion of a variety of perspectives regardless of seniority. </li></ul>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 Benefits<a href="https://jobs.netflix.com/work-life-philosophy" target="_blank"> here</a>.Netflix has a unique culture and environment.  Learn more<a href="https://jobs.netflix.com/culture" target="_blank"> here</a>.<a href="https://about.netflix.com/en/inclusion" target="_blank">Inclusion</a> 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.