Senior Analytics Engineer
Core
Building the full-stack analytics foundation, semantic layer, and predictive modeling frameworks for Plaid's Marketing, GTM, and Growth teams to drive data-informed decisions and self-serve analytics.
Role type
Senior Analytics Engineer (Applied Data Science)
Builds
dbt models, semantic layers, predictive frameworks (LTV, lead scoring, attribution), and self-serve AI-powered analytics tools for Marketing leadership.
Domain
Fintech / Marketing Analytics / Growth
Deliverable
production ML models | product features | dashboards & analysis
Required skills
dbt, Advanced SQL, Python, Cloud Data Warehousing (Databricks/Snowflake/BigQuery/Redshift), Predictive Modeling, Marketing Analytics, Experimentation Design, Data Modeling
Preferred skills
Experience in SaaS/Growth analytics, AI-powered self-serve tooling development
Technologies
dbt, Databricks, Python, SQL, Snowflake, BigQuery, Redshift
Responsibilities
Own dbt models and data marts powering Marketing analytics and reporting; Build and productionize predictive models for LTV, lead scoring, and channel attribution; Partner with leadership on measurement frameworks and spend optimization; Enable self-serve analytics via AI tools and semantic models; Collaborate with ML and Data Engineering teams on data infrastructure.
Seniority
Senior, hands-on IC with applied data science responsibilities