
10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
🕒 June 27
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10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
• 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 • 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. • A strong communicator–both written and oral–who can develop and deepen strong relationships with a wide variety of technical and non-technical stakeholders.
• stock options • no bonuses • flexible work arrangements
Apply Now🕒 June 26
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