# Analytics Engineer 5 - Ads Identity & Signals 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: 2026-10-20
- Apply by: 2026-12-04
- Apply: https://netflix.wd108.myworkdayjobs.com/en-US/Netflix/job/USA---Remote/Analytics-Engineer-5---Ads-Identity---Signals_JR43105?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/netflix-analytics-engineer-5-ads-identity-and-signals/

## About the role

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Design, build, and maintain the data models and pipelines that support identity graph construction, entity matching, and identity resolution across first-party and third-party signals
- Partner with data engineering and software engineering to productionize matching logic, ensuring pipelines are scalable, well-tested, and monitored for data quality and drift
- Build metrics, dashboards, and analytics that quantify match rate, match quality, coverage, and graph stability, and that surface anomalies before they affect downstream campaigns
- Work closely with data science to evaluate and improve matching algorithms, providing the clean, well-documented data and features needed to test and iterate on models
- Manage and evaluate the analytics relationship with external identity providers (e.g., Experian, TransUnion, LiveRamp), including onboarding new sources, validating match performance, and monitoring ongoing data quality
- Translate identity graph and matching concepts — nodes, edges, match confidence, deterministic vs. probabilistic matching — into clear, actionable insights for product, sales, and other non-technical stakeholders


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/netflix-analytics-engineer-5-ads-identity-and-signals/