by Maulik Pandey

Our Team — Kevin Lew, Narayanan Arunachalam, Elizabeth Carretto, Dustin Haffner, Andrei Ushakov, Seth Katz, Greg Burrell, Ram Vaithilingam, Mike Smith and Maulik Pandey

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@Netflixhelps Why doesn’t Tiger King play on my phone?” — a Netflix member via Twitter

This is an example of a question our on-call engineers need to answer to help resolve a member issue — which is difficult when troubleshooting distributed systems. …


Part of our series on who works in Analytics at Netflix — and what the role entails

by Julie Beckley & Chris Pham

This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

[Chris] Julie and I joined the Streaming DSE team at Netflix a few years ago and have been close colleagues and friends since then. …


An Introduction to Analytics and Visualization Engineering at Netflix

by Molly Jackman & Meghana Reddy

Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making. But there is far less agreement on what that term “data analytics” actually means — or what to call the people responsible for the work.

Even within Netflix, we have many groups that do some form of data analysis, including business strategy and consumer insights. But here we are talking about Netflix’s Data Science and Engineering group, which specializes in analytics at scale. The group has technical, engineering-oriented roles that fall under two broad category titles: “Analytics Engineers” and “Visualization Engineers.”

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Netflix Technology Blog

Learn more about how Netflix designs, builds, and operates our systems and engineering organizations

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