Plaid
Senior Analytics Engineer
$157K–$215K
San Francisco HQ · Hybrid · Senior · Full-time · Posted Oct 16, 2026
- Experience
- 5+ years in analytics engineering, data science, or a closely adjacent function.
- Education
- Bachelor’s degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience).
About the job
Owns Plaid’s Marketing analytics data stack, building data models, predictive frameworks, and self-serve tools to support marketing planning, measurement, and growth.
What you'll do
- Build and maintain dbt models and data marts for Marketing analytics, activation, and reporting.
- Develop and productionize predictive models, including lead scoring, LTV, attribution, and propensity models.
- Partner with Marketing leadership on measurement, experimentation, spend optimization, and AI-enabled self-serve analytics.
What they ask for
- Bachelor’s degree in a quantitative field or equivalent experience.
- 5+ years of experience in analytics engineering, data science, or a closely adjacent function.
- Advanced SQL and production-grade data modeling experience; Python proficiency for modeling and analysis.
- Experience with a modern cloud warehouse and shipping predictive models or applied ML in a business context.
Nice to have
- dbt experience is strongly preferred.
- Marketing Analytics, Growth, or GTM analytics experience at a SaaS or usage-based technology company.
Pay
$157.2K – $214.8K USD base salary
Tools
dbt, Databricks, SQL, Python, Snowflake, BigQuery, Redshift
AI focus
Build AI-powered experiences that let Marketing partners self-serve from the metric layer; develop and productionize predictive models and applied ML.
Model-written summary · the original posting is authoritative