As a Senior Analytics Engineer at Netflix, you will play a crucial role in understanding the efficiency of the company's cloud and AI infrastructure. You will work within a team of Analytics Engineers, Data Engineers, and Data Scientists to define metrics, build datasets, and deliver insights that guide investment decisions. This high-visibility position allows you to develop metrics from scratch and create dashboards that communicate efficiency to various stakeholders. Your work will directly impact how Netflix optimizes its multi-billion-dollar infrastructure.

• Experience in metric research and development in a technical domain.
• Self-sufficient across the full analytics loop including data exploration, cleaning, and dashboard creation.
• Fluency in Python and SQL.
• Strong communication skills with both technical and non-technical audiences.
• Experience in measuring cost, efficiency, or system performance in a cloud or streaming context is a plus.

• Define and own the core metrics for understanding infrastructure cost, usage, and efficiency.
• Pioneer new ways to measure the productivity impact of AI tooling and autonomous agents.
• Increase the speed and quality of insights regarding efficiency.
• Surface and size new efficiency opportunities based on cost and usage data.
• Build dashboards, reports, and narratives to communicate efficiency to various audiences.
• Partner with Data Engineers and Data Scientists on relevant projects.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.