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Analytics Engineer

Calm LogoCalm
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Salary

$147,000 - $225,000

Location

Remote - US; Los Angeles, CA; San Francisco, CA; New York, NY; Minneapolis, MN

Posted

Yesterday

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.

What you'll do

  • 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

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, 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

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

Minimum requirements

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

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