Senior Analytics Engineer

The role

You will own the dbt models and data marts for Marketing analytics, activation, and reporting. You will build predictive models and partner with Marketing leadership on measurement frameworks and experiment design.

What you will do

• Own the dbt models and data marts that power Marketing analytics, activation, and reporting.
• Build, validate, and productionize predictive models in partnership with Marketing and GTM stakeholders.
• Partner with Marketing leadership on measurement frameworks, experiment design, and spend optimization.
• Enable self-serve analytics through AI tools and well-documented semantic models.
• Collaborate with ML, Data Engineering, and Ops teams to deliver data infrastructure to Marketing.

Required 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
• 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

Nice to have

• dbt strongly preferred

Benefits

• medical
• dental
• vision
• 401(k)

About the company

Plaid builds tools and experiences that thousands of developers use to create products. The company's network covers 12,000 financial institutions across the US, Canada, UK and Europe.