Analytics Engineer, Plaid
$157.2-214.8k
Offers Equity
1-5 days a week in office
Data network powering the tools millions of people rely on to live a healthier financial life
Be an early applicant
Data network powering the tools millions of people rely on to live a healthier financial life
1001+ employees
Be an early applicant
$157.2-214.8k
Offers Equity
1-5 days a week in office
1001+ employees
Company mission
To unlock financial freedom for everyone.
Role
Who you are
- Bachelor's degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience)
- 4+ years of proven experience in analytics engineering, data science, or a closely adjacent function
- Advanced SQL and production-grade data modeling experience — dbt strongly preferred
- Python proficiency for modeling and analysis work
- Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, BigQuery, or Redshift)
- Demonstrated experience shipping predictive models or applied ML in a business context
- Prior experience in Marketing Analytics, Growth, or GTM analytics at a SaaS or usage-based technology company
- Strong stakeholder communication and the ability to autonomously drive projects end-to-end
- We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description
What the job involves
- 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 an 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 an 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
- 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 questions into analytical answers
- Enable self-serve analytics through AI tools and well-documented semantic models
- Collaborate with ML, Data Engineering, and Ops teams to deliver best-in-class data infrastructure to Marketing
Our take
Plaid builds infrastructure that allows consumers to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.
Plaid has integrated with over 12,000 financial institutions in the US, Canada, the UK and Europe. And about a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs).
The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts. This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2025
$575m
LATE VC
Apr 2021
$425m
SERIES D
Total funding: $1.3bn
Company benefits
- Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
- Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
- Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft
Company HQ
SoMa, San Francisco, CA
Leadership
Zach Perret
(Co-Founder & CEO)Previously, Zach was a Consultant at Bain and a Research Fellow and Trustee at Duke before co-founding Plaid ion 2012.
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