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 leveraging data to enhance subscriber experiences across streaming, gaming, and live content. You will collaborate with product and engineering teams to innovate and implement scalable datasets, frameworks, and tools that drive high-quality viewing and discovery experiences for global members. Your work will involve developing data pipelines, visualizations, and insights that are accessible across the company, ensuring that data-driven decisions are made effectively.

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 for 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
• Flexible time off for salaried employees
• 35 days annually for paid time off for hourly employees