# Analytics Engineer 5 - Infrastructure Efficiency & Productivity at Netflix

- Company: Netflix
- What the company does: Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more. Backed by IVP and Redpoint.
- Company website: https://www.netflix.com
- Type: Startups
- Level: Mid level
- Location: USA - Remote
- Work setup: Remote
- Posted: 2026-10-15
- Apply by: 2026-11-29
- Apply: https://netflix.wd108.myworkdayjobs.com/en-US/Netflix/job/USA---Remote/Analytics-Engineer-5---Infrastructure-Efficiency---Productivity_JR42062?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/netflix-analytics-engineer-5-infrastructure-efficiency-and-productivity/

## About the role

Define and own the core metrics for how Netflix understands infrastructure cost, usage, and efficiency across its compute, storage, streaming, and machine learning platforms, and expand that coverage as the footprint grows. Help pioneer new ways to measure the productivity impact of AI tooling and autonomous agents, shaping frameworks that leadership across the company will use to guide investment. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Experienced in metric research and development in a technical domain: you build metric frameworks (not just one-off metrics) at multiple granularities that ladder up to a coherent whole, and you set targets people trust
- Self-sufficient across the full analytics loop: data exploration, cleaning, light pipeline building, business logic, and dashboards. Fluent in Python and SQL
- At home in messy, changing data, with the judgment to know when a number is right and when it needs a second look
- An exceptional communicator with both technical and non-technical audiences, experienced at telling stories with data and influencing decisions at all levels of the business
- A strong product thinker with good product sense: you get at what your partners actually need and build solutions that satisfy it
- Comfortable with ambiguity, and you thrive with minimal oversight and process


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/netflix-analytics-engineer-5-infrastructure-efficiency-and-productivity/