Data Quality Analyst, Movies & Production

Job Description

Location: Los Angeles, or Los Gatos, CA preferred, or Remote in North America with flexibility to travel and partial PST working hours.

Netflix is the world's leading streaming entertainment service with over 220 million paid memberships in over 190 countries enjoying series, documentaries and feature films across a wide variety of genres and languages. As our slate of original productions and licensed content increases, we must scale and 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 and practices for a growing studio.

We are looking for a Data Quality Analyst 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 and user education.

In this role, you will focus primarily on the Movie ID (MID) and Production ID (PTP ID) data sets for film and television, which are foundational to the application ecosystem. This role will lead MID Support, a specialized support team that addresses complex data issues and establishes interim workflows to unblock users. MID Support also serves as a team which educates users on best data practices and how to understand data attributes. As the lead of MID Support, this role will own the operational workflow, ticket metrics and analysis of support patterns, and establish relationships with other support teams and end users.

This role will also maintain data cleanliness via daily deduplication to minimize problems for users downstream preparing titles for launch. Additionally, this role will provide analysis of patterns and insightful recommendations to engineering and product teams to close gaps in workflows and improve the data sets powering their products. Key partners outside our team include product managers, engineers, application users, as well as training and customer support teams.

A successful candidate will love digging into large data sets to find patterns and diagnose problems, have excellent communication skills to both solve user problems and identify areas for improved workflows or education, and have the curiosity to trace data issues to their root cause.

Responsibilities
• Maintain ongoing data cleanliness via daily deduplication, including classifying issues and providing metrics on patterns seen in duplicate creation
• Investigate and resolve Movie data issues, as well as provide analysis and recommendations for improving data quality to both technical and non-technical audiences
• Create more efficient ways to analyze and work with large data sets
• Create and maintain data documentation both for an internal, technical audience and for partner user teams
• Provide Movie ID user support and analysis of ticket metrics
• Align with partner support teams to share best practices and learnings from support scenarios, as well as surface patterns and issues
• Optimize existing workflows and step in to establish new workflows as needed when gaps are discovered
• Establish and maintain relationships with user teams to build up trust and provide relevant context regarding data structures and attributes
• Find opportunities for user education and partner on creation of data education materials to instill users with confidence when updating and editing data in their day-to-day

Qualifications
• 2+ years experience in film and television data, metadata or operations, preferably in a streaming or VOD environment
• 2+ years of experience in any of the following: customer support, education and training, production and post-production, or data governance
• Excellent communication, both written and verbal– in person, over video, via messaging (ie.: Slack) and email. This includes the ability to explain complex concepts for a wide range of audiences in a global company.
• Strong analytical skills and an ability to synthesize information across a broad ecosystem to diagnose problems and devise solutions
• Strong understanding of workflows and ability to recognize inefficiencies
• Knowledge of data lifecycle and data governance concepts
• Excellent time-management skills
• Attention to detail and the ability to track multiple requests, finding parallels and overlaps that may occur. Possess the ability to be granular but also have a high-level view
• Proficiency with Google Suite, table-based applications (e.g. Excel, Airtable), and content management systems
• Experience with industry data tools (Studio System, IMDB, Variety Insight)
• Flexible in an evolving environment

Nice to haves:
• Production or Post-Production experience, either working on productions or an educational background in film and television
• Experience working with product and/or engineering teams
• Experience with Jira, Monday, and/or Zendesk

If your experience doesn't check off every box in our list of qualifications, but you think you'd be a great addition to our team anyway, we want to hear from you! Please attach a cover letter to your resume explaining how your skills and experience could enhance this role.

Netflix Culture

Netflix's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Jobcode: Reference SBJ-gx9be4-216-73-216-180-42 in your application.