Senior Analytics Engineer, Exploratory Analytics Tooling

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Netflix is a pioneer in the entertainment industry, merging the creativity of Hollywood with the technical innovation of Silicon Valley. Netflix currently serves over 140 million subscribers in more than 190 countries around the world and spent over $13 billion on television, films, documentaries and other entertainment content in 2021 alone. As Netflix continues to grow - we are leveraging the unique position we have as both a content distributor and producer to create cutting-edge data driven insights supporting a variety of decisions about the content we make and buy.

We’re looking for a senior analytics engineer with 5+ years of experience to help build a powerful suite of data models, tools, and dashboards that support our content and marketing teams - transforming the petabytes of data coming from our streaming service into critical insights to build the best content catalog in the world.

You Are:

• You are lazy in a productive way (find tedious work boring and would rather automate it).
• You think modularly - you like to create reusable components that minimize redundancy
• You love freedom and hate being micromanaged. Given context, you're capable of self-direction.
• You are motivated to explore new technologies and learn, and can do so without formal education.
• You love data and have strong quantitative instincts, but exploring new mathematical techniques isn’t your primary driver - you can bring complicated techniques to bear when necessary but value simplicity, elegance and explainability.
• Above all else, you love to build things and you have a strong product mindset

You can expect to:

• Transform suites of metrics, ad hoc queries and analyses into powerful decision-support tools
• Work with stakeholders on our content and marketing teams to identify key questions and provide generalized solutions
• Prototype out new dashboards and tools as we work to extend our core products
• Create well-documented and robust “data marts” that empower analysts and help application developers access data insights.
• Work closely with data scientists, data engineers and software engineers to make data insights broadly accessible to our content acquisition and marketing teams

What do you know? (Not a rigid litmus test)

• Complex SQL statements: You can write these in your sleep. Experience with Snowflake/Redshift or other data warehouses a plus.
• Data Visualization/Reporting: Tableau, Looker, or similar experience required. Building beautiful tools is a plus.
• Analytics: Stats/quantitative background a plus.
• Big Data: SparkSQL, Presto, Hive, etc.
• Hacky Scripting: Not required but welcome. Python, Bash, etc.
• Education: Surprise us.