Analytics Engineer

What you will do

• Take ownership of meaningful metrics and data products, from definition through adoption.
• Build and maintain dbt models that define how we measure the business.
• Design and maintain dashboards used by growth, finance, and operations to make day-to-day decisions.
• Improve data quality through testing, monitoring, and validation.
• Enable self-serve analytics so teams can answer their own questions and move faster.

What we are looking for

• Experience building analytics models and dashboards in a production environment.
• Strong SQL skills and experience with dbt or similar tools, and working knowledge of python for ad-hoc analysis.
• Strong intuition for metric design, including grain, aggregation, and edge cases.
• Eagerness to work closely with stakeholders to define problems and translate them into metrics, models, and analytic tools.
• Good judgment when balancing speed, accuracy, and maintainability.

Tools and tech stack

• dbt and SQL for modeling.
• Snowflake as our data warehouse (migrating from Redshift).
• Omni for BI, with tools like Hex for ad hoc analysis.
• GitHub with CI/CD for version control.
• AI tools (e.g., Claude, ChatGPT, Copilot) are woven into our daily development and analysis workflow.

Experience that stands out

• Experience with data testing, CI/CD, and building reliable, observable data systems.
• Partnering closely with finance, growth, or go-to-market teams.
• Building self-serve analytics tools that reduce ad hoc requests.
• Working in healthcare, fintech, or other complex, regulated domains.