Analytics Engineer

What We Do

The Calm Data Team focuses on helping drive business outcomes across Calm Consumer. 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 story 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 
• Enable key decision-makers with trusted data products and metrics
• Participate in the development, testing, documentation and evangelism of our core data models
• Utilize analytical tools such as Databricks, Airflow, Mode and Tableau to help our business partners build actionable insights
• Develop strong cross-functional partnerships across Calm to drive success

Some past projects for the team include:

• Partnering with Data Engineering to set up a reporting system in BigQuery from scratch. This included data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints
• Developing and implementing an alerting system for critical metrics
• Supporting the design of the data warehouse to serve many internal data consumers (e.g. analysts, engineers, product managers, operations managers)
• Building an efficient and scalable data pipeline for high-volume events in the data warehouse
• Building Internal and External Dashboards and Visualizations that can be used to tell business narratives

Who You Are

• 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, AWS, 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

Nice to Haves

• Experience working on digital consumer products or subscription businesses
• Experience supporting product analytics, experimentation, retention and lifecycle marketing
• Experience partnering with Product, Growth, Finance, and Engineering Stakeholders
• Experience modeling high-volume event and subscription data for self-serve analytics
• Experience modeling data to expose to LLMs for natural language SQL and tool calls

Minimum Requirements

• 4+ in analytics engineering, data engineering, or data science
• Strong proficiency in SQL

Calm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the anticipated salary range for this position is $147,000 - $225,000. The base pay range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.