Analytics Engineer

Calm.com•Minneapolis, MN

11h

About The Position

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 17 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. What You’ll Do As an Analytics Engineer you will design and develop scalable data models that power our data products serving internal analysis, experimentation and reporting across our entire business. You will collaborate with key stakeholders across our product, engineering, operations and data science teams to understand our various data sources and translate this knowledge into performant analytical data models as well as visualizations that answer questions or tell the narrative as posed by the business. 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
4+ in data science, data engineering or analytics engineering
Strong proficiency in SQL

Nice To Haves

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

Responsibilities

Design and develop scalable data models that power our data products serving internal analysis, experimentation and reporting across our entire business.
Collaborate with key stakeholders across our product, engineering, operations and data science teams to understand our various data sources and translate this knowledge into performant analytical data models as well as visualizations that answer questions or tell the narrative as posed by the business.
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