Netflix is one of the world's leading entertainment services, with 283 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.
Netflix is one of the world's leading streaming entertainment services, with over 270 million members in over 190 countries enjoying TV series, documentaries, feature films, and mobile games across various genres and languages. Members can play, pause, and resume watching as they want, anytime, anywhere, and change their plans anytime.
The goal of our Title & Launch Management Data Science and Engineering team is to enable operational and creative excellence in the distribution and promotion of our content. We collaborate closely with our partners in the Product Discovery & Promotion organization, and our work directly contributes to launching high-quality content on our service and helping our members discover content they will love. We conduct analyses, develop models, and build analytical tools to help our partners execute on these primary objectives.
We are looking for a talented analytics engineer to support the management and distribution of our Live content and other new formats on service. You will partner with our world-class teams of content metadata and merchandising practitioners and various cross-functional teams to shape strategy and deliver impact via analytical solutions. Interested? Read more about the job description and qualifications below!
What you will do:Collaborate closely with stakeholders in Product Discovery & Promotion to learn deeply about content distribution, metadata & merchandising
Apply an entrepreneurial mindset to identify impactful problems to solve via scalable analytics solutions
Lead the development of new metrics, innovative analyses, and insightful dashboards that impact decision-making across Product Discovery & Promotion in regards to these strategic initiatives, as well as connect them to the broader Netflix measurement ecosystem
Collaborate with data engineers to source data from new systems and strengthen our foundational data models
Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding analytical methods
BS or MS degree in a quantitative or computational field
4+ years of full-time work experience in one or more relevant analytical roles
An expert in a data-oriented programming language (e.g. SQL, Python, R, Scala, etc.) and intuitive dashboard/visualization design (e.g. Tableau)
Proficient in ETL and data warehousing best practices and core statistical concepts (e.g., estimation, hypothesis testing)
Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process. You connect the dots across business needs and independently drive projects forward.
A strong communicator–both written and oral–who can develop and deepen strong relationships with a wide variety of technical and non-technical stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data.
Enthusiasm about and compatibility with Netflix culture
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 $100,000 - $700,000.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.
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.
Skills Required
- BS or MS degree in a quantitative or computational field
- 4+ years of full-time work experience in analytical roles
- Expertise in data-oriented programming languages (SQL, Python, R, Scala)
- Experience with dashboard/visualization design (e.g., Tableau)
- Proficient in ETL and data warehousing best practices
- Solid grounding in core statistical concepts (estimation, hypothesis testing)
- Ability to own ambiguous projects, drive work independently with minimal oversight
- Strong written and oral communication; experience influencing executive leadership
Netflix Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netflix and has not been reviewed or approved by Netflix.
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Fair & Transparent Compensation — Compensation is positioned as “personal top of market” with regular recalibration and broad posted ranges for senior roles that signal the philosophy. The cash‑forward structure and clearly described pay‑mix choices help set expectations on how pay is determined.
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Equity Value & Accessibility — Employees can choose the mix of cash versus fully vested 10‑year stock options, with grants structured to be retained even after departure. This employee‑directed design increases accessibility and control over equity participation.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, and mental health, with employer funding designed to offset premiums. Additional resources like counseling/coaching and wellness support reinforce breadth in care access.
Netflix Insights
What We Do
Netflix is the world's leading streaming entertainment service with 209 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
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