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Senior Analytics Engineer

Plaid· Data
Apply on company site
San Francisco$157.2k - $214.8kFull-timePosted 3mo ago

About the role

Senior Analytics Engineer on the Marketing pod owning Plaid's Marketing data stack, building dbt models, predictive frameworks, and self-serve data products to enable planning, measurement, and growth.

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 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.

Qualifications

  • Bachelor's degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience)
  • 5+ 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

Skills

Required:dbtSQLPython

Benefits

  • Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Plaid

Enabling all companies to build fintech solutions

Plaid helps all companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.

fintechbankingpaymentsfraudcreditopen financefinancial data
Company profileWebsite

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