The Content Analytics team at Netflix has a clear mission – help the organization access and understand the petabytes of streaming data generated by our service to make great content acquisition decisions that spark the joy of our members. Our work encompasses all aspects of Netflix’s content business, from  licensing blockbuster shows and films and measuring their impact on our service, to assembling the ingredients for the next hit Netflix Original. As part of this effort, we tackle a variety of fascinating analytical questions: What is the best way to assess the value a show delivers to one of our subscribers? What type of content should we invest in next? How can we measure the impact of our title catalog on subscriber retention?
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To answer these questions, we work closely with content experts and data scientists to develop an enviable suite of metrics, exploratory analyses, tools, and dashboards; all supported by robust data pipelines that scale with our continually expanding service (now marching toward 100 global members!).

• You are lazy in a productive way (find tedious work boring and would rather automate it).
• You are a veteran that thrives in a fast-paced environment and that sees yourself as a partner with the business, with the shared goal of moving the business forward.
• You love freedom and hate being micromanaged. Given context, you’re capable of self-direction.
• You deliver results quickly with iteration, instead of waiting for perfection.
• You are motivated to explore new technologies and learn, and can do so without formal education.

• You love finding the stories buried in petabytes of data and are able to build insightful tools and data products that enable everyone at Netflix to be an analyst.
• Be a bridge between the Content buyers and tech, enabling insight that can empower better decision-making.
• Be comfortable outside of your comfort zone – explore new tech, build your own tools, jump into ETL when needed, or find a new way to address an old problem.
• Creatively explore how data can continually add value to Netflix. Translate ad hoc questions into flexible tools & methodologies that scale to answer broad problems across the organization.
• Be a vocal and proactive partner to your stakeholders. Guide their line of questioning rather than fulfilling requests. Provide insights and conclusions rather than data outputs.
• Work with the finance experts, data scientists, and data engineers to develop metrics & analytical approaches to understand nuance around title performance and find what to look for our next great Original.

• Data Visualization/Reporting: Tableau, Looker, or similar experience required. D3 experience a plus.
• Complex SQL statements: You can write these in your sleep. Experience with Redshift or other parallel databases a plus.
• Big Data: SparkSQL, Presto, Hive, etc.
• Analytics: Stats/quantitative background a plus.
• Hacky Scripting: Not required but welcome. Python, Bash, etc.
• Education: Surprise us.