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.

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

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