Zipporin is seeking a skilled Marketing Analytics & Attribution Engineer to join our data team in Austin, TX on a hybrid basis. In this role, you will be the foundational technical owner of our marketing data architecture, responsible for translating omnichannel touchpoints into coherent, mathematically rigorous attribution models that drive strategic investment decisions.
Key Responsibilities:
- Architect, implement, and maintain advanced multi-touch attribution (MTA) and marketing mix models (MMM) to quantify marketing performance across all acquisition channels.
- Build reliable, scalable data transformation models and pipelines using dbt, SQL, and Python within our cloud data warehouse.
- Extract, standardize, and reconcile datasets from advertising networks, customer data platforms (CDP), web analytics tools, and internal CRM systems.
- Partner with Growth, Paid Media, and Product Marketing teams to design and evaluate incrementality experiments and holdout tests.
- Ensure measurement frameworks adapt to modern privacy regulations and platform tracking shifts (e.g., Apple ATT, third-party cookie deprecation).
Requirements:
- 4+ years of professional experience in analytics engineering, marketing data engineering, or quantitative marketing analytics.
- Demonstrated expertise with attribution methodologies, algorithmic modeling, incrementality testing, and conversion tracking mechanics.
- Advanced proficiency in modern SQL, dbt, and Python for data transformation and statistical analysis.
- Hands-on experience with modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and event streaming/CDP tools.
- Strong stakeholder communication skills and ability to translate complex data models into actionable business insights.
- Based in or willing to relocate to Austin, TX, with the ability to work in-office on a hybrid cadence.