Analytics Engineer (L6) - Title and Launch Management

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.

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 Content Platform Operations & Publishing 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 help lead the development and measurement of our scaled content system, which will enable the highly automated delivery of new content formats to our service, such as fast-follow local broadcasts, video podcasts, and more. You will partner with our world-class launch operations team and various cross-functional partners to shape strategy and deliver impact via analytical solutions. Interested? Read more about the job description and qualifications below!

• Engage with stakeholders in Content Platform Operations & Publishing to learn deeply about our robust set of internal systems that enable content distribution on our service

• Apply an entrepreneurial mindset to identify impactful problems to solve via scalable analytics solutions, not only for your individual work but broader work across the team

• Lead the development of new metrics, innovative analyses, and insightful dashboards that impact decision-making across Content Platform Operations & Publishing in regards to these strategic initiatives, as well as connect them to the broader Netflix measurement ecosystem

• Lead sourcing and development of foundational data models in close collaboration with data engineers

• Partner closely on analytics and reporting with ML/AI practitioners who are developing innovative capabilities to automate components within our content distribution system

• Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding analytical methods and data-driven decision making

• BS or MS degree in a quantitative or computational field

• 8+ years of full-time work experience in one or more relevant analytical roles, preferably with some experience working on large-scale operational systems

• An expert in one or more data-oriented programming languages (e.g., SQL, Python, R, Scala, etc.) and intuitive dashboard/visualization design (e.g., Tableau, Plotly)

• Proficient in ETL and data warehousing best practices and core statistical concepts (e.g., estimation, hypothesis testing, regression analysis)

• 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 strong relationships and thought partnership 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 $150,000 - $750,000.

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.