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Analytics Engineer 5 - Content & Studio

Netflix

seniorpermanentdatabackend United States Today via LinkedIn
330,000 - 566,000 USD/annual

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Tags

SQLPythonPlotly DashData ModelingData EngineeringCI/CDTestingVersion ControlMonitoringMarketing Analytics

About the role

Role overview

Netflix is hiring a Senior Analytics Engineer (5 - Content & Studio) for its Data and Insights team. You will lead the design and implementation of robust data architectures and analytical toolings that turn raw data into reliable data models and insights for the Marketing/Consumer Product stakeholders.

What you will do

  • Data foundations: Design, build, and maintain scalable data models that serve as the source of truth for Consumer Product teams.
  • Cross-functional partnership: Work with business stakeholders, Product Engineering, and Data Engineers/Researchers/Data Scientists to translate business needs into technical data solutions.
  • Analytical rigor & storytelling: Create high-impact dashboards and custom analytics tools (e.g., Plotly Dash) to drive business decisions.
  • Engineering excellence: Deliver scalable solutions using advanced SQL and Python, plus strong engineering practices such as CI/CD, testing, version control, and monitoring.
  • Business strategy: Provide data-driven perspectives to challenge assumptions, identify growth opportunities, and influence future product direction.
  • Operational balance: Manage long-term infrastructure projects while staying agile for ad hoc data requests.

Requirements

  • 5+ years experience with an advanced degree in a quantitative field (or 8+ years without an advanced degree).
  • Expert-level SQL.
  • Deep Python experience for data manipulation and automation.
  • Ability to translate ambiguous requests into concrete data products.
  • Strong communication skills with both technical and non-technical audiences.
  • Bias to action: iterate and deliver rapid results.
  • Proactive adoption of AI capabilities to accelerate workflow.

Nice-to-haves

  • Experience delivering analytics tooling and dashboards used by senior stakeholders (implied).
  • Familiarity with data engineering workflows and reliability practices (implied).

About Netflix

Netflix is a global entertainment company focused on storytelling at scale. Its Data and Insights organization uses data, analytics, causal inference, machine learning, and scientific methods to improve key parts of the business, including marketing and consumer product decision-making.

Scraped 7/29/2026