Marketing Analytics & Attribution Engineer

Zipporin is seeking an experienced Marketing Analytics & Attribution Engineer to lead the design, development, and evolution of our end-to-end marketing measurement infrastructure. In this hybrid role based in New York, NY, you will bridge the gap between growth marketing and core data engineering, building scalable data pipelines and statistical models that accurately quantify full-funnel marketing performance and inform multi-million dollar capital allocations.Key Responsibilities:Architect, implement, and maintain robust attribution models, including rule-based, algorithmic Multi-Touch Attribution (MTA) and Marketing Mix Modeling (MMM).Build and optimize data pipelines using dbt, Python, and SQL to unify user touchpoints across diverse paid, earned, and owned marketing channels.Partner closely with Growth, Paid Acquisition, and Data Engineering teams to define cross-channel tracking specifications, event instrumentation, and CDP schemas.Integrate server-side conversion APIs (Meta CAPI, Google Enhanced Conversions) and measurement protocols to counter signal loss and evolving privacy standards.Design and automate incrementality testing frameworks, geo-lift experiments, and continuous measurement validation suites.Candidate Requirements:4+ years of data or analytics engineering experience with a dedicated focus on marketing data ecosystems and attribution modeling.Expert-level proficiency in SQL and Python for high-performance data modeling, pipeline development, and statistical computation.Hands-on experience with modern data stack technologies, specifically dbt and cloud data warehouses such as Snowflake or BigQuery.Deep domain knowledge of ad-tech mechanics, mobile measurement partners (MMPs), web analytics (GA4), and privacy shifts (e.g., iOS privacy updates, third-party cookie deprecation).Proven track record collaborating cross-functionally with executive marketing stakeholders to translate complex analytics into actionable growth strategies.