CareerPlan

Senior Analytics Engineer

San Francisco HQFull-time2026-04-29 → 2026-11-08

Core

Build and maintain the core semantic layer data models, activation layer, and BI surfaces for Plaid's GTM, CGX, NEA, and Marketing organizations, acting as an applied data science partner.

Role type

Senior Analytics Engineer (Marketing pod)

Builds

dbt models, predictive frameworks, and self-serve data products for Marketing leadership

Domain

Fintech / Marketing Analytics

Required skills

dbt, Advanced SQL, Python, predictive modeling, LTV calculation, channel attribution, propensity modeling, cloud data warehousing

Preferred skills

Marketing Analytics, Growth, GTM analytics experience at SaaS or usage-based tech companies

Technologies

dbt, Databricks, Snowflake, BigQuery, Redshift

Responsibilities

Own dbt models and data marts powering Marketing analytics and reporting; Build and productionize predictive models for lead scoring, LTV, and attribution; Partner on measurement frameworks and experiment design; 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