Analytics Engineer 5 - Ads Identity & Signals Mid

D8 LooP; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Netflix is seeking an Analytics Engineer 5 for Ads Identity & Signals in the United States. You will design data models, metrics, and dashboards to translate complex identity data into actionable insights for product and business teams.

You will partner with data engineering and software engineering to productionize matching logic, build scalable pipelines, and monitor data quality and drift. Experience with privacy-sensitive data is valued.

Qualifications

• Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders.
• Experience building and maintaining production data pipelines using Python and SQL.
• You will build analytics and data infrastructure to power identity matching and graph construction for visibility and actionability.

Responsibilities

• Work end-to-end from raw signal ingestion to dashboards and data products.
• Collaborate with data engineering and software teams to productionize matching logic and ensure scalable data pipelines.
• Monitor data quality, drift, and governance considerations for identity data.

Skills

Python

SQL

Data pipelines

Metrics

Tools

Airflow

Job description

Netflix · explore.jobs.netflix.net · checked today

Analytics Engineer 5 - Ads Identity & Signals

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.

Skills, with evidence

Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders. must have

Partner with data engineering and software engineering to productionize matching logic, ensuring pipelines are scalable, well-tested, and monitored for data quality and drift. must have

• Python Strong SQL and Python skills, with experience building and maintaining production data pipelines. must have
• SQL Strong SQL and Python skills, with experience building and maintaining production data pipelines. must have
• Airflow / orchestration You will build the analytics and data infrastructure that powers identity matching and graph construction — designing the tables, pipelines, and metrics that let the team and its stakeholders understand match quality, coverage, and drift over time.
• Governance & security Experience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data. not practised here

You'll work end-to-end: from raw signal ingestion, through matching logic and graph construction, to the dashboards and data products that make identity health visible and actionable across the company. not practised here

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.