Netflix is one of the world’s leading entertainment services with 278 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 Role

Netflix is one of the worlds 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

Your background and characteristics:

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.