Analytics Engineer (L5), Financial Data

At Netflix, we want to entertain the world and are constantly innovating on how entertainment is imagined, created, and delivered to a global audience. We currently stream content in more than 30 languages in 190 countries, topping over 220 million paid subscribers and are expanding into new forms of entertainment such as gaming. Engineering teams within Netflix work hard every day to scale and innovate this content production and member experience in an ever-growing complex software landscape.

As part of the Enterprise Product Engineering team, we're responsible for enabling the business to make smart decisions about how we account, spend, and plan for all of the money that's related to our content. We have embarked on a journey to create a financial data universe for our business users. This helps enable well-informed decision-making by unifying financially relevant data across systems and supports efficient, self-service access to business insights at scale. As a senior analytics engineer focused on Netflix’s financial data universe, you will have huge ownership and responsibility for enabling the business' critical decisions. You will be responsible for creating reliable, distributed data pipelines and building intuitive data models that allow our stakeholders to easily leverage data in a self-service manner. You will be expected to show thought leadership and partner effectively with our engineering teams, analysts, and business partners to push the company forward.

What will you do?

Completely define, own, and maintain business-critical data pipelines.
Work closely with engineers, analysts, and business partners to deeply understand the data, what it means in our context, and how to elegantly model it appropriately
Contribute to and maintain a unified financial semantic model that enables self-service reporting capabilities for our users
Power some of the most important and insightful dashboards and insights for our finances
Learn the ins and outs of our business and how Netflix manages money
Understand and explain how data ties together and relates to the rest of our ecosystem
Design dimensional tables to enable analysts and drive critical business decisions in an efficient and scalable manner

Who are you?

You strive to write elegant code, and you're comfortable with picking up new technologies independently
You are proficient in at least one major programming language (e.g. Java, Scala, Python) and comfortable working with SQL
You enjoy helping teams push the boundaries of analytical insights, creating new product features using data, and powering machine-learning models
You have a strong background in at least one of the following: distributed data processing or software engineering of data services
You are familiar with dimensional data modeling techniques and best practices
You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets
You have an eye for detail, good data intuition, and a passion for data quality
You appreciate the importance of great documentation and data debugging skills
You relate to and embody many of the aspects of th. You love working independently while also collaborating and giving/receiving candid feedback
You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks

The overall market range for roles in this area of Netflix is typically $150,000 - $700,000

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