Analytics Engineer

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 appranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countriesCalm 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 likeCalm 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 3500 organizations and reaches over 42 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Companyand one ofFast Companys Brands That Matter. Learn more at.

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 complexwe always rely on data to drive our solutions.

What Youll 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

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

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 $147000 - $225000. The base pay range represents the low and high end of Calms 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 candidates 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.

Calm may incorporate artificialintelligence technology to support the application review process but rest assured that human reviewers are involved in all stages of the hiring process.

Calm is committed to providing reasonable accommodations for qualified individuals with disabilities including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process please contact Calms Recruiting team at. All accommodation requests will be handled confidentially and assessed on a case-by-case basis.

We believe that mental health is health and every person should be considered in the discussion. Thats why were proud to be an equal opportunity workplace committed to providing equal employment opportunities to all applicants and employees regardless of race color religion national origin age sex marital status ancestry physical or mental disability medical condition genetic information military or veteran status gender identity or expression sexual orientation or any other characteristic protected by applicable federal state or local law.

Calm is deeply committed to diversity equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work and experience a culture that is free of harassment racism and discrimination.

Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening.

FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

• Right to Work
• E-Verify Participation