Analytics Engineer, Content and Studio

Job not on LinkedIn

🕒 June 27

🏄 California – Remote

🏄 California – Remote

💵 $100k - $700k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

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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.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• stock options • no bonuses • flexible work arrangements

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