Analytics Engineer 5 - Ads Identity & Signals

Overview

Build the analytics and data infrastructure for the identity graph and entity matching that underpin Netflix's ads business, as a foundational member of the Identity & Signals team.

What you'll do

• Design, build, and maintain 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 surface anomalies before they affect downstream campaigns.
• Work closely with data science to evaluate and improve matching algorithms, providing clean, well-documented data and features.
• 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 into clear, actionable insights for product, sales, and other non-technical stakeholders.
• Collaborate with product and cross-functional partners to define identity requirements, evaluate trade-offs (accuracy vs. coverage vs. privacy), and prioritize roadmap work.
• Communicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences at all levels of the company.

What you'll need

• 5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data.
• Experience working with graph data structures and graph-based data models (e.g., property graphs, graph databases, or graph analytics on top of relational/columnar stores).
• Familiarity with entity matching / identity resolution concepts, including deterministic and probabilistic matching, fuzzy matching, blocking/candidate generation, and match quality evaluation.
• Knowledge of, or direct experience working with, identity providers such as Experian, TransUnion, LiveRamp, or similar data/identity partners.
• Strong SQL and Python skills, with experience building and maintaining production data pipelines.
• Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders.
• Demonstrated ability to collaborate closely across data engineering, software engineering, data science, and product teams.
• Ability to work independently, drive your own projects, and make compelling cases for prioritization.
• Embodies the Netflix values while bringing a new perspective to continue improving our culture.

Nice to have

• Experience with ad-tech identity concepts, including cross-device identity, household graphs, cookie/ID deprecation, or media measurement.
• Experience with graph databases or graph-processing frameworks (e.g., Neo4j, Neptune, GraphFrames, or similar).
• Familiarity with the Netflix ML/data stack (Metaflow) or comparable large-scale data tooling.
• Experience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data.
• Experience applying GenAI to boost developer/analytics productivity.

Details

• Location: USA, remote.
• Compensation is an annual salary range of $330,000.00 - $566,000.00, varying by location.
• Job is open for no less than 7 days and will be removed when the position is filled.