Senior Analytics Engineer

Join Plaid as a Senior Analytics Engineer, where you'll be the technical owner of the Marketing data stack. You'll build and maintain core data models, predictive frameworks, and self-serve data products that drive growth and performance measurement. Collaborate with Marketing leadership and other teams to deliver best-in-class data infrastructure and enable self-serve analytics. Enjoy a vibrant work environment, competitive pay, comprehensive health benefits, and lifestyle perks.

Collaborer avec les équipes ML, Data Engineering et Ops pour fournir une infrastructure de données de premier ordre au marketing.

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

Responsibilities

• Posséder les modèles dbt et les marts de données qui alimentent l'analyse, l'activation et le reporting marketing.
• Construire, valider et mettre en production des modèles prédictifs (scoring des leads, LTV, attribution des canaux, propension) en partenariat avec les parties prenantes.

Requirements

• Strong stakeholder communication and the ability to autonomously drive projects end-to-end
• 4+ years of proven experience in analytics engineering, data science, or a closely adjacent function

Python proficiency for modeling and analysis work

• Demonstrated experience shipping predictive models or applied ML in a business context
• Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, BigQuery, or Redshift)
• Prior experience in Marketing Analytics, Growth, or GTM analytics at a SaaS or usage-based technology company
• Bachelor's degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience)

Preferred

• Advanced SQL and production-grade data modeling experience — dbt strongly preferred

Pay

USD 157,200 - 214,800