Analytics Engineer 5 - Enterprise Data

Netflix is a leading entertainment service with over 300 million paid memberships worldwide, offering TV series, films, and games. The Enterprise Data Science & Engineering (DSE) team aims to enhance productivity of technologists and strengthen enterprise data through dedicated data products and partnerships. The team focuses on enabling high-quality data foundations to support scalable internal tools and products across the business.

• Expertise in defining complex data metrics and measurement frameworks.
• Experience leading large-scale data quality initiatives and influencing technical teams.
• High proficiency in SQL and Python for building pipelines and prototyping.
• Ability to communicate complex data concepts to non-technical stakeholders.
• Strategic thinker balancing immediate insights with long-term automation vision.

• Define advanced data excellence metrics beyond standard availability checks.
• Design and implement data models and dashboards for monitoring critical data assets.
• Analyze trends in data lineage, asset utilization, and lifecycle to identify improvement opportunities.
• Collaborate with Data Platform teams to ensure infrastructure supports health analysis.
• Standardize evaluation methods for data quality across domains.
• Develop metrics to measure impact on developer productivity, data friction reduction, and tooling adoption.

Netflix is an equal opportunity employer celebrating diversity and inclusion. Accommodation requests for disabilities or other reasons during hiring are supported upon request to recruiting partners.