Senior Analytics Engineer, Content Finance

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 shows are produced and acquired all over the world and watched by more than 200 million accounts globally. In the Netflix Studio, we aim to give content creators the opportunity to bring their most visionary ideas to life and create joy for our members around the world through innovative storytelling.

The Content Finance Data Science & Engineering team at Netflix is a talented group of cross-functional data professionals. We help scale our rapidly growing Content and Studio efforts by focusing on datasets describing production cost, slate financial planning, and our global workforce of vendors and production talent. These data sets represent tens of billions of dollars - a large portion of Netflix’s revenue - reinvested into entertaining the world with new, original shows. We conduct statistical analyses, develop analytic tools, develop new data sets and pipelines, and build predictive models and algorithms using machine learning, all with the goal of producing the best content we can in the best way we can. Check out this team overview to learn more about the area and some of the problems we're working on.

We’re looking for a Senior Analytics Engineer to supercharge our content finance data products, whether they’re automated workflows, self-serve data sets in business intelligence tools, or our flagship custom-built web dashboards. These products describe in full detail the lifeblood of Netflix: our investments in content. They’re used to help guide the company in the right direction and to make our operation more efficient. If you’re the right person for this role, you’re probably someone who loves to build things and derives great satisfaction from sleek, effective data presentation.

In this role, you will:

• Create data tools, products, and visualizations using a mix of Python and business intelligence platforms such as MicroStrategy or Tableau
• Craft metrics and reports that will help the Content and Studio functions to evaluate their progress
• Partner with finance, production, and business teams on new ideas for data tools and applied modeling
• Collaborate with Data Engineers and Software Engineers to source new data or improve existing data
• Execute rigorous analytic research using our rich corpus of global content and studio data, with the aim of improving our strategy and decision making in Content and Studio. The method of analysis is up to you (descriptive analytics, models, statistical tests, etc.)

The ideal candidate will be:

• Excited to build data products and automate manual data processes
• Inclined to move fast and iterate rather than wait for perfection
• Proficient in Python or R (or another scripting language used for data science & analysis)
• Able to gather and query your own data using complex SQL in a relational database environment
• Experienced working with one or more business intelligence or data visualization platforms (i.e., Tableau, PowerBI, Looker, MicroStrategy, etc.)
• Experienced with a range of analysis methods: descriptive, statistical, comparative, or machine-learned (supervised and unsupervised learning)
• An effective data presenter and storyteller, both verbally and on paper, to technical and nontechnical audiences
• A strong communicator; able to own and deepen direct relationships with a wide variety of business partners and engineers
• Comfortable with ambiguity; able to thrive with minimal oversight and process
• Able to product and project manage their own work