Analytics Engineer

New York, United StatesOn-site

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The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA and Marketing organizations.
We build and maintain the core semantic layer data models (dbt on Databricks), activation layer, and BI surfaces that these teams rely on — and we partner with stakeholders to turn those models into decisions, forecasts, analytics and experiments.
In addition to core analytics engineering, you’ll work on predictive modeling, experimentation, lifetime value (LTV), and attribution alongside the broader team.
You will build the dbt models, predictive frameworks, and self-serve data products that Marketing leadership uses to plan spend, measure performance, and drive growth.
You'll also help build the AI-powered experiences that let Marketing partners self-serve from our metric layer

We believe that the way people interact with their finances will drastically improve in the next few years.
We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.
Plaid powers the tools millions of people rely on to live a healthier financial life.
We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe.
Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.