Netflix - Los Angeles, CA

posted 16 days ago

Full-time - Intern
Los Angeles, CA
Broadcasting and Content Providers

About the position

The Data Visualization Engineer Intern role at Netflix is designed for students pursuing a degree in Computer Science, Engineering, Mathematics, or a related field. This internship focuses on creating analytical products that support content partners in decision-making processes through compelling data visualizations. Interns will collaborate with various teams to build visually appealing and high-performance products that serve as sources of truth for the company, enhancing the understanding of business success through data storytelling.

Responsibilities

  • Design and build visually compelling data visualizations and web applications.
  • Collaborate with business stakeholders to understand their data needs and translate them into actionable insights.
  • Iterate on tools based on user feedback to improve user experience and data storytelling capabilities.
  • Work with data from various sources, including APIs and relational databases, to create interactive visualizations.
  • Participate in the data visualization community within Netflix and explore existing products and strategies.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related analytics field.
  • Experience with front-end JavaScript and Node.js.
  • Familiarity with visualization libraries and component frameworks like React.
  • Strong understanding of design concepts related to chart forms, typography, and color usage.
  • Experience in designing, building, and iterating on user interfaces.

Nice-to-haves

  • Passion for data visualization and storytelling.
  • Ability to make complex data intuitive for a broad audience.
  • Experience working in a fast-paced environment.

Benefits

  • Paid internship with competitive hourly compensation.
  • Opportunity to work on meaningful projects that impact the company.
  • Personalized internship experience with project matching based on interests and skills.
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