Analytics Engineer

January 6

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $100k - $700k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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Netflix

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B2C • eCommerce • Media

Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

- employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

💰 $20M Post-IPO Equity on 2022-01

📋 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 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

🎯 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 and process. • A strong communicator–both written and oral–who can develop and deepen strong relationships with a wide variety of technical and non-technical stakeholders. • Experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data.