Analytics Engineer 5 - Ads Identity & Signals

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Analytics Engineer 5 – Ads Identity & Signals based in the United States. Join an innovative advertising technology team building the data infrastructure that powers identity resolution and audience insights across a global streaming platform. In this senior-level role, you will design and develop scalable data models, pipelines, and analytics systems that help recognize individuals and households across devices, signals, and external data sources. Your work will directly influence advertising targeting, campaign measurement, reporting accuracy, and the reliability of identity data products. Collaborating with data engineering, software engineering, data science, and product teams, you will transform complex identity-matching processes into measurable, actionable insights. You will help evaluate matching algorithms, monitor data quality, and establish metrics that reveal identity coverage, match accuracy, and system performance over time. This role offers the opportunity to shape foundational analytics capabilities within a growing advertising technology ecosystem, where technical ownership and independent problem-solving are highly valued. If you combine strong engineering expertise with analytical thinking and effective communication, you can make a significant impact on the future of data-driven advertising. Accountabilities - Design, build, and maintain scalable data models and production pipelines supporting identity graph construction, entity matching, and identity resolution across first-party and third-party data sources. - Partner with data engineers and software engineers to productionize identity-matching logic, ensuring pipelines are reliable, scalable, well-tested, and monitored for data quality issues and performance drift.

- Develop and maintain metrics, dashboards, and analytical tools that measure match rates, matching accuracy, identity coverage, graph stability, and overall system health. - Establish monitoring frameworks to detect anomalies, data inconsistencies, and changes in matching performance before they affect advertising campaigns or downstream reporting. - Collaborate with data scientists to evaluate, validate, and improve identity-matching algorithms by providing reliable datasets, well-documented features, and analytical insights. - Manage the analytical evaluation of external identity providers, including onboarding new data sources, validating matching performance, and monitoring ongoing data quality and reliability. - Translate complex identity graph concepts, including nodes, edges, match confidence, and deterministic versus probabilistic matching, into clear insights for product, sales, and other non-technical stakeholders. - Work with product managers and cross-functional partners to define identity requirements, evaluate trade-offs between accuracy, coverage, and privacy, and prioritize roadmap initiatives. - Communicate technical decisions, analytical findings, system limitations, and business implications effectively to stakeholders at all organizational levels. - Contribute to the development of reliable data products and standardized metrics that improve transparency and trust in identity-related systems. - Identify opportunities to improve data infrastructure, analytical workflows, and engineering productivity through automation and emerging AI-powered tools. - Take ownership of complex analytical projects, independently define solutions, and advocate for priorities that improve identity data quality and advertising performance. Requirements - At least five years of professional experience as an Analytics Engineer, Data Engineer, or in a similar technical role working with large-scale data systems.