Charlie Health is a rapidly growing organization focused on providing personalized virtual care for mental health and substance use disorders. They are seeking a Senior Analytics Engineer to build and scale data infrastructure, transforming raw data into actionable insights for therapists and clinical teams.
Responsibilities:
- Full-stack analytics engineering: Build, maintain, and optimize data models that transform raw data into structured, actionable insights in Snowflake using dbt
- Develop scalable data workflows: Partner with data engineers to ensure data pipelines are efficient, reliable, and well-documented
- Enable data-driven decision-making: Build and maintain dashboards, reports, and self-serve analytics tools in Hex and Tableau, ensuring teams can easily access the right data
- Drive a culture of experimentation: Implement best practices for A/B testing, cohort analysis, and impact measurement, ensuring insights drive real-world improvements in patient care and clinician experience
- Optimize performance & cost: Continuously refine queries and data transformations to reduce latency, improve efficiency, and manage Snowflake costs effectively
- Foster data enablement & collaboration: Work cross-functionally with clinical, product, and operations teams to ensure they can trust and leverage data to improve business and patient outcomes
Requirements:
- Advanced SQL expertise (Snowflake, Redshift, or BigQuery), with the ability to write and optimize complex queries
- Proficiency with dbt (or equivalent transformation tools) for building scalable data models
- Experience with BI & reporting tools (Hex, Tableau) to develop dashboards and reports
- Understanding of data warehouse architecture, governance, and best practices to ensure data is structured, reliable, and easy to access
- Ability to thrive in a fast-paced, high-impact environment, balancing technical rigor with business needs
- Strong problem-solving skills and a collaborative mindset to work across teams and functions