Analytics Engineer (L5) - Member Data Products

$170,000 - $720,000/Yr

Netflix - Los Gatos, CA

Full-time - Mid Level

Los Gatos, CA

10,001+ employees

Broadcasting and Content Providers

About the position

As an Analytics Engineer at Netflix, you will play a crucial role in enhancing the subscriber experience through data-driven insights. Your primary focus will be on developing and maintaining data pipelines, tooling, and visualizations that provide valuable insights about our members. You will collaborate with cross-functional teams to drive product innovation and improve engagement across various platforms, including streaming, gaming, and live content.

Responsibilities

• Develop and maintain data pipelines, tooling, and visualizations that make member insights widely available across the company
• Identify, compute, and validate the appropriate data sources and metrics to measure success in a product area
• Partner with data engineers to design and implement a data architecture that bridges across experimentation, analytics, and operational reporting
• Conduct forensic investigations into logging, including real-time monitoring of new features launched to support live events
• Proactively explore trends in member engagement to surface future opportunities
• Cultivate strong partnerships with cross-functional stakeholders
• Coach partners to self-serve with existing tools and evangelize for scaled approaches to expand data access and insights beyond our team

Requirements

• Passion for using data to see Netflix from the eyes of our members
• Exceptional communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise
• Comfort with ambiguity; ability to thrive with minimal oversight and process
• Highly fluent in SQL for working with big data
• Proficient with scripting languages such as Python; familiarity with Scala is a plus
• Experienced in engineering data pipelines and orchestrating workflows
• Passion for exploring and improving technical datasets and logging
• Familiarity with software engineering best practices (e.g. source control, code reviews, unit testing)
• Embodies the Netflix values while bringing a new perspective to continue improving our culture

Nice-to-haves

• Familiarity with Scala

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• 35 days annually for paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees