Analytics Engineer 5 – Ads Identity & Signals

🔥 18 hours ago

🇺🇸 United States – Remote

💵 $330k - $566k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Design, build, and maintain data models and pipelines supporting identity graph construction, entity matching, and identity resolution • Partner with data engineering and software engineering to productionize scalable, well-tested matching logic and monitor data quality and drift • Build metrics, dashboards, and analytics measuring match rate, match quality, coverage, and graph stability • Surface anomalies before they affect downstream campaigns • Work with data science to evaluate and improve matching algorithms • Provide clean, documented data and features for model testing and iteration • Manage and evaluate analytics relationships with external identity providers • Onboard new identity data sources, validate match performance, and monitor ongoing data quality • Translate identity graph and matching concepts into actionable insights for product, sales, and non-technical stakeholders • Collaborate with product and cross-functional partners to define identity requirements, evaluate accuracy, coverage, and privacy trade-offs, and prioritize roadmap work • Communicate technical decisions, trade-offs, and results to technical and non-technical audiences

🎯 Requirements

• 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 • Familiarity with entity matching and 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 • Experience building and maintaining production data pipelines • Experience designing data models, metrics, and dashboards for non-technical stakeholders • Ability to collaborate across data engineering, software engineering, data science, and product teams • Ability to work independently, drive projects, and make compelling prioritization cases • Experience with ad-tech identity concepts • Experience with graph databases or graph-processing frameworks such as Neo4j, Neptune, or GraphFrames • Familiarity with Metaflow or comparable large-scale data tooling • Experience with privacy-sensitive data and relevant data governance and privacy considerations • Experience applying GenAI to developer or analytics productivity

🏖️ Benefits

• Comprehensive health plans • Mental health support • 401(k) retirement plan with employer match • Stock option program • Disability programs • Health savings and flexible spending accounts • Family-forming benefits • Life and serious injury benefits • Paid leave of absence programs • Flexible time off for full-time salaried employees