Netflix

Where you come to do the best work of your life. Follow @WeAreNetflix on Twitter, IG, Facebook, & Youtube for more

Analytics Engineer, Title and Launch Management

Analytics EngineerAnalytics EngineerFull TimeRemoteTeam 10,001+Since 1997H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

87 days ago

Salary

$150K - $750K / year

Bachelor Degree8 yrs expEnglishETLPythonScalaSQLTableau

Job Description

• 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

Job Requirements

  • 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.
  • 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.
  • Experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data.

Benefits

  • Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
  • We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.

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