Analytics Engineer 5 - Application Quality of Experience

Netflix

90d • $170,000 - $720,000

About The Position

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We want to provide a seamless, high-quality experience across a wide range of devices – from the shows you watch on your phone while on the go, to movie night at home. Supporting such a broad range of streaming experiences requires intricate coordination of systems behind the scenes. To do this, Netflix encodes the content that members love, distributes it to our content delivery network, and adaptively streams it to a wide range of devices. Our Client Data Science & Engineering team uses some of Netflix’s largest datasets to generate insights about the end-to-end user experience and the systems that underpin it. Our end goal is to drive higher-quality experiences across the variety of devices and networks our global members use. We’re looking for an analytics engineer to uplevel our quality of experience (QoE) instrumentation for the Netflix App, shepherding it from telemetry on user devices all the way through to high visibility dashboards that are used by our engineering and business teams to monitor and improve the Netflix user experience.

Requirements

• Passion for exploring and building highly technical datasets and logging.
• Experience with creating clear written and visual technical documentation of user flow and how it is instrumented.
• Exceptional spoken and written communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.
• Proficiency with Python and a high level of fluency in SQL and experience in engineering data pipelines.
• Familiarity with software engineering practices (experience with data processing and tool development at scale is a plus).
• Comfort with ambiguity; ability to thrive with minimal oversight and process.

Responsibilities

• Be at the forefront of using analytics and data engineering skills to ensure that App QoE data can be used effectively across the company.
• Become one of the core stewards of App QoE, focusing on instrumentation, monitoring, understanding the user experience as it evolves within our product, and influencing best practices for producers and consumers.
• Collaborate with product engineering teams and data scientists to develop new ways of measuring how users perceive application performance.

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
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees