Analytics Engineer

Here's how you'll make a difference:

• Own the transformation layer in dbt- design, build, and maintain modular, well-tested data models that define how data is structured and consumed across the company.
• Define and implement core business metrics (e.g. activation, engagement, retention) as reusable, versioned data assets- ensuring consistent definitions across analytics, product, and AI use cases.
• Model complex SaaS data by integrating product events, CRM (Salesforce), and support data into clean, well-defined fact and dimension models.

What you bring:

• 5+ years in analytics engineering or data engineering with a strong focus on data modeling
• Strong proficiency in dbt and SQL- building modular, well-tested models
• Solid understanding of dimensional modeling and metric design

What we offer:

• Flexible hours, 33 vacation days
• Access to Open Up, corporate discounts
• Virtual events, collaborative team activities, and opportunities for local meet-ups