The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA, and Marketing organizations
Job Summary
The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA, and Marketing organizations.
As an Analytics Engineer, you will act as an applied data science partner working on predictive modeling, experimentation, lifetime value, and attribution.
You will be the technical owner of Plaid's Marketing data stack, building dbt models and self-serve tools to drive growth and measure performance.
Matching Summary
The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA, and Marketing organizations.
Skills & Requirements
Must-have
dbt on Databricks expertise
predictive modeling experience
marketing data stack ownership
LTV and attribution analysis
self-serve data product development
Nice-to-have
applied data science partnership
prescriptive analytics focus
AI-powered experience building
cross-functional stakeholder collaboration
growth marketing strategy alignment
Key Requirements
Experience with dbt and Databricks
Background in predictive modeling and experimentation