Analytics Engineer

Responsibilities

• Contribute to and improve our dbt implementation and data models, turning raw data into scalable, business-ready datasets that enable clear analysis of business and platform performance.
• Collaborate with partners across technical and non-technical teams to bridge the gap between data and action
• Support key decision makers about the state of the business through internal data products
• Participate in the development, testing, documentation and evangelism of our core data models
• Utilize analytical tools such as Databricks, BigQuery, Airflow, Mode and Tableau to help our business partners (both internal and external) to build actionable insights
• Develop strong cross-functional partnerships across Calm to drive success

Requirements

• Solid experience with data modeling and analyzing large scale data with modern cloud computing platforms. Experience with dbt strongly preferred
• Strong proficiency in SQL
• Experience with data pipeline development tools in a modern data stack such as dbt, Databricks, BigQuery, and Airflow
• Experience with Tableau or similar Data Visualization / BI tool
• Prior experience in Python
• Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
• Strong relationship management and presentation skills
• Experience contributing to data documentation and testing practices
• Pragmatism: balancing scrappiness and rigor
• Prior work experience in a B2B SaaS (Ideally in Healthcare Sector)
• Experience working with non-technical business stakeholders across Internal Product, Finance, and Partner Sales
• Experience working in Healthcare Analytics
• Experience modeling data to expose to LLMs for natural language SQL and tool calls
• Minimum Requirements
• 4+ in data science, data engineering or analytics engineering
• Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process.

Benefits

Additional Information

About Calm Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. Known for its flagship consumer app-ranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countries-Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health , offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 42 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company's Brands That Matter . Learn more at calm.com . What We Do The Calm Health Data Team focuses on helping drive business outcomes across Calm Health. The business problem comes first (what are we trying to solve?), and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex-we always rely on data to drive our solutions.

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