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Senior Analytics Engineer

Plaid

Senior Analytics Engineer is a still-open role at Plaid on Jobrow. Location: Hybrid · San Francisco HQ · San Francisco · California · United States. Listed pay: $157k–$215k. Sourced from the company's public Ashby board. First seen 15 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$157k–$215k
Workplace
Hybrid
Location
San Francisco HQ · San Francisco · California · United States
First seen
15 days ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

We believe that the way people interact with their finances will drastically improve in the next few years.

  • Function: Data
  • Seniority: senior

Location & pay

Hybrid · San Francisco HQ · San Francisco · California · United States Listed pay on Jobrow: $157k–$215k.

Source

Jobrow reads the public Ashby board for Plaid. First seen 15 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. 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. As a Senior Analytics Engineer, you’ll also act as an applied data science partner. In addition to core analytics engineering, you’ll work on predictive modeling, experimentation, lifetime value (LTV), and attribution alongside the broader team. As a Senior Analytics Engineer on the Marketing pod, you will be the technical owner of Plaid's Marketing data stack. 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 partner directly with PMM, Growth Marketing, and Marketing leadership to deliver core data models, frameworks, and tools — including LTV, lead scoring, and experimentation tooling — with a north star that aims for prescriptive and production-grade analytics. You'll also help build the AI-powered experiences that let Marketing partners self-serve from our metric layer Responsibilities - Own the dbt models and data marts that power Marketing analytics, activation, and reporting.  - Build, validate, and productionize predictive models (lead scoring, LTV, channel attribution, propensity) in partnership with Marketing and GTM stakeholders - Partner with Marketing leadership on measurement frameworks, experiment design, and spend optimization — translating business ques

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