The analytics engineer role at Netflix focuses on supporting the management and distribution of Live content and new formats. This position is part of the Title & Launch Management Data Science and Engineering team, which aims to enhance operational and creative excellence in content distribution and promotion. The engineer will work closely with content metadata and merchandising teams to develop impactful analytical solutions. The role requires a combination of technical expertise and strong communication skills to influence strategic decisions across the organization.

• BS or MS degree in a quantitative or computational field
• 4+ years of full-time work experience in one or more relevant analytical roles
• Expertise in a data-oriented programming language such as SQL, Python, R, or Scala
• Proficiency in ETL and data warehousing best practices and core statistical concepts
• Strong communication skills, both written and oral, with experience in partnering with executive leadership

• Collaborate closely with stakeholders in Product Discovery & Promotion to understand content distribution and merchandising
• Identify impactful problems to solve through scalable analytics solutions
• Lead the development of new metrics, analyses, and dashboards that influence decision-making
• Work with data engineers to source data from new systems and enhance foundational data models
• Serve as a thought partner for stakeholders and cross-functional teams regarding analytical methods

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.