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Analytics Engineer (L5) - Localization

World's leading entertainment service with over 300 million paid memberships in 190+ countries, offering TV series, films and games across genres and languages.
United States
$100,000 - $720,000
Data
Staff Software Engineer
Remote
5,000+ Employees
5+ years of experience
Entertainment · Enterprise SaaS

Job Description

Netflix, the global entertainment leader with 300M+ subscribers, is seeking an Analytics Engineer (L5) for their Localization Data Science and Engineering team. This role is crucial in breaking down language barriers and enhancing member experience globally. The position involves designing and developing analytic tools and systems to optimize localization efforts across Netflix's vast content library. You'll work with a diverse team of engineers, scientists, and product managers to shape localization strategy and deliver business impact. The role offers competitive compensation ($100K-$720K) with flexibility in salary vs. stock options. As a remote position, it provides the opportunity to work on meaningful projects that affect millions of users worldwide while maintaining work-life balance. The ideal candidate will combine technical expertise in data engineering with strong business acumen and communication skills, thriving in Netflix's unique culture of freedom and responsibility.

Last updated 24 days ago

Responsibilities For Analytics Engineer (L5) - Localization

  • Act as strategic partner for stakeholders to identify business opportunities and enhance strategies with automated data solutions
  • Drive direction and execution of work from developing analytic tools to designing scalable analytic systems
  • Partner with engineers and scientists to improve foundational data models and accelerate productization of data insights
  • Share innovation and collaborate with the broader community to strengthen analytics enablement
  • Become a regional expert on Localization Data Science and Engineering

Requirements For Analytics Engineer (L5) - Localization

Python
  • Proven track record of designing and developing scalable analytic tools and systems
  • High proficiency in standard tech stack (Python, SQL, Spark) and data visualization tools
  • Familiar with Statistical Inference and Data Analysis
  • 5+ years of experience building data products and visualizations at scale
  • Exceptional communication and collaboration skills with strong business acumen
  • Comfortable with ambiguity and able to work with minimal oversight
  • Netflix culture resonance

Benefits For Analytics Engineer (L5) - Localization

Equity
  • Competitive Salary
  • Stock Options

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