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Analytics Engineer 4 - Content Data Science & Engineering

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Salary

$250,000 - $421,000

Location

Los Angeles, CA or Los Gatos, CA

Posted

Today

Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. As we envision the future of content at Netflix, we're seeking an Analytics Engineer to join our team and partner with one of our content verticals. This role will leverage cutting-edge analysis, data science, metrics, and models to drive progress in the space. Your role will extend beyond advising the business on content performance; you'll also be a thought partner to the diverse cross-functional teams that bring our content to life.

What you will do

  • You will create impactful analyses, metrics, reports, dashboards, and custom tools to reveal in-depth insights into our content performance.
  • You will work cross-functionally to identify opportunities that enhance our overall content strategy and within your specific vertical.
  • You will team up with other data and insights colleagues to develop robust, scalable solutions for our business.

You are

  • An analytics professional with 3+ years of experience in the field with a proven track record of understanding the true needs of the business and how to use data skills and partnerships to fulfill those needs.
  • Fluent in Python, SQL for working with big data (e.g. Spark, Trino) & experienced in engineering data pipelines and orchestrating workflows (e.g. Airflow, Metaflow).
  • Experienced in delivering actionable insights using various data analysis techniques (regression, cohort, clustering, time series, factor analysis, etc.).
  • Experienced with industry-standard visualization and BI tools (for example, Tableau, Looker, Power BI, Microstrategy, etc).
  • A strong communicator who can develop, own, and deepen strong relationships with a wide variety of non-technical and technical stakeholders.
  • Comfortable with ambiguity and able to thrive with minimal oversight and process.
  • Analytically minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.
  • An individual who pays attention to the details and makes a conscious effort to understand causes instead of just the effects.
  • An individual with a growth mindset who is impact-driven and has a strong desire to grow a broad set of technical and non-technical skills.

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