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Calm

Analytics Engineer

Calm

Montreal, Quebec, Canada · Jornada completa

Sé el primero en postularte

Experiencia
4+ yrs
Salario
USD 147,000 – USD 225,000 / year
Vacantes
1
Al corriente
hace 17 horas

Where you'll work

Descripción del trabajo

About Calm

Calm is a consumer mental health platform focused on helping people improve sleep, reduce stress, and build healthier daily habits. Its flagship app is the top-ranked app in its category, with more than 180 million downloads, availability in seven languages, and reach across 190 countries. In addition to the consumer app, Calm offers Calm Health, an evidence-based solution delivered through employers, health plans, and providers to expand access to mental health and sleep support, improve benefits engagement, and create better health outcomes. The company supports more than 3,500 organizations and reaches over 42 million covered lives through Calm Health. Calm has also been recognized as a TIME100 Most Influential Company and as one of Fast Company’s Brands That Matter.

What You’ll Be Working On

The Calm Health Data Team is centered on solving business problems with data. The team starts by defining the question or outcome it needs to address, then builds the analysis and data products needed to answer it effectively. The work can range from simple to highly complex, but in every case it is grounded in data-driven decision making.

Role Overview

As an Analytics Engineer, you will create scalable data models that support internal analysis, experimentation, and reporting across the company. You will work closely with product, engineering, operations, and data science partners to understand source data and turn it into high-performance analytical models and visualizations that help the business answer questions and communicate insights clearly.

Key Work Areas

  • Improve and extend the dbt environment, converting raw inputs into business-ready datasets that make it easier to analyze company and platform performance.
  • Partner with both technical and non-technical teams to connect data insights with real business action.
  • Help decision makers understand the current state of the business through internal data products.
  • Contribute to the development, testing, documentation, and broader adoption of core data models.
  • Use tools such as Databricks, BigQuery, Airflow, Mode, and Tableau to help internal and external stakeholders create practical insights.
  • Build strong working relationships across Calm to support cross-functional success.

Who We’re Looking For

This role calls for someone with solid experience in data modeling and in working with large-scale datasets on modern cloud platforms. Strong SQL skills are essential, and dbt experience is especially valuable. You should be comfortable working with tools in a contemporary data stack, including dbt, Databricks, BigQuery, and Airflow. Experience with Tableau or another BI/visualization tool is important, and Python knowledge is also needed. The right candidate can translate business needs into technical solutions and explain technical work in business terms. Strong stakeholder management, presentation ability, documentation discipline, and testing habits are important, along with a pragmatic mindset that balances speed and rigor.

Minimum Qualifications

  • At least 4 years of experience in data science, data engineering, or analytics engineering.
  • Advanced SQL proficiency.

Preferred Background

  • Experience in a B2B SaaS environment, ideally within healthcare.
  • Exposure to working with non-technical stakeholders in Internal Product, Finance, or Partner Sales.
  • Background in healthcare analytics.
  • Experience modeling data for LLM use cases such as natural language SQL and tool calls.

Compensation and Benefits

Calm uses a geographic pay model, so compensation is tied to the employee’s location. For this position, the expected base salary range is $147,000 to $225,000. Eligibility for the top end of the range depends on factors such as geographic location, skills, experience, and other qualifications. This role is also eligible for equity, comprehensive benefits, 401(k), and flexible time off.

Hiring and Employment Notes

Calm may use artificial intelligence tools to help review applications, although human reviewers remain involved throughout the hiring process. Employment offers depend on the successful completion of a background check. Some roles may also require a drug screening if access to certain information is needed.

For U.S.-based positions, Calm participates in E-Verify, which helps confirm authorization to work in the United States. The company also provides reasonable accommodations for qualified individuals with disabilities, including disabled veterans. Accommodation requests for the application or interview process can be directed to Calm’s Recruiting team and are handled confidentially on a case-by-case basis.

Equal Opportunity and Inclusion

Calm is an equal opportunity employer and considers all applicants and employees without regard to protected characteristics such as race, color, religion, national origin, age, sex, marital status, ancestry, disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other status protected by law. The company is committed to fostering a respectful, inclusive environment where people can bring their authentic selves to work and where harassment, racism, and discrimination are not tolerated.

Additional Requirements

  • Right to Work
  • E-Verify Participation

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