Netflix is the world's leading streaming entertainment service with over 204 million paid memberships in over 190 countries enjoying series, documentaries & feature films across a wide variety of genres & languages. As our slate of original productions & licensed content increases, we must scale & formalize management of studio data to meet the changing needs of the business. Now is an exciting time to join a talented, energetic team that is helping to shape operational data standards & practices for a growing studio.
We are looking for a Studio Data Specialist to join the Studio Data Management team within Studio Product Innovation (SPI). SPI creates applications that drive innovation in content creation. Our team manages several large operational data sets that are used broadly across these applications. We work closely with product teams to ensure that the data is bringing value to their products while also working to improve underlying data quality through better processes, tools, guidelines & user education.
In this role, you will focus on the Movie & Production IDs, which are the backbone of the application ecosystem. Maintaining properly structured & connected Movie & Production IDs is critical to driving a variety of functions, from financial forecasting to project launch on service. You will initially focus on data quality projects in the Content Programming domain, where product teams create solutions to help studio teams make decisions about what titles to acquire & how to allocate Netflix's content budget. Additionally, you will join other Data Specialists in providing Movie-related support to users across the studio. Key partners outside our team include product managers, engineers, designers, application users as well as training & customer support teams. A successful candidate will love digging into large data sets to find patterns & diagnose problems, have the agility to pivot between heads-down project execution & user-focused problem-solving & be excited by the opportunity to be part of an evolving team.