Calm
Join to apply for the
Senior Analytics Engineer
role at
Calm
Overview Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. The data science team focuses on helping drive business outcomes across Calm. The business problem comes first (what are we trying to solve?), and the analysis follows (how do we best solve this problem?).
What You’ll Do
Design and develop scalable data models that power data products serving internal analysis, experimentation and reporting across the business.
Collaborate with stakeholders across product, engineering, operations and data science to translate data sources into performant analytical data models.
Own and improve our dbt implementation and data models, turning raw data into scalable, business-ready datasets for clear analysis of business and platform performance.
Bridge the gap between data and action with partners across technical and non-technical teams.
Inform key decision makers about the state of the business through internal data products.
Develop, test, document and evangelize core data models.
Utilize analytical tools such as Databricks, BigQuery, Airflow, Mode and Tableau to help partners build actionable insights.
Develop strong cross-functional partnerships across Calm to drive success.
Past Projects
Partnering with Data Engineering to set up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints.
Developing and implementing an alerting system for critical metrics.
Architecting 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.
Who You Are
Extensive experience with data modeling and analyzing large-scale data on modern cloud platforms; experience with dbt strongly preferred.
Strong proficiency in SQL.
Experience with data pipeline development tools in a modern data stack (dbt, Databricks, BigQuery, Airflow).
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.
Hands-on experience building data documentation and testing practices.
Pragmatism: balancing scrappiness and rigor.
Nice to Have
Prior work experience in a subscription business or B2B SaaS.
Experience working with tools in a data lake architecture (e.g., Spark).
Minimum Requirements
8 years of relevant experience
4+ years in data science, data engineering or analytics engineering
Strong proficiency in SQL
The anticipated salary range for this position is $174,000 - $243,600. The base salary 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 depend on multiple factors, including geographic location, skills, experience and other qualifications. This role is eligible for equity, comprehensive benefits, 401k, and flexible time off.
Calm may incorporate artificial intelligence technology to support the application review process, but human reviewers are involved in all stages of the hiring process.
Calm is committed to providing reasonable accommodations for qualified individuals with disabilities. If you require an accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case-by-case basis.
We believe that mental health is health, and we are committed to equal employment opportunities for all applicants and employees, regardless of 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 characteristic protected by law.
Employment offers are contingent upon the successful completion of a background check. Some roles may require drug screening. For US-based positions: Calm participates in E-Verify.
Right to Work
E-Verify Participation
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Mental Health Care
#J-18808-Ljbffr
Senior Analytics Engineer
role at
Calm
Overview Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. The data science team focuses on helping drive business outcomes across Calm. The business problem comes first (what are we trying to solve?), and the analysis follows (how do we best solve this problem?).
What You’ll Do
Design and develop scalable data models that power data products serving internal analysis, experimentation and reporting across the business.
Collaborate with stakeholders across product, engineering, operations and data science to translate data sources into performant analytical data models.
Own and improve our dbt implementation and data models, turning raw data into scalable, business-ready datasets for clear analysis of business and platform performance.
Bridge the gap between data and action with partners across technical and non-technical teams.
Inform key decision makers about the state of the business through internal data products.
Develop, test, document and evangelize core data models.
Utilize analytical tools such as Databricks, BigQuery, Airflow, Mode and Tableau to help partners build actionable insights.
Develop strong cross-functional partnerships across Calm to drive success.
Past Projects
Partnering with Data Engineering to set up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints.
Developing and implementing an alerting system for critical metrics.
Architecting 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.
Who You Are
Extensive experience with data modeling and analyzing large-scale data on modern cloud platforms; experience with dbt strongly preferred.
Strong proficiency in SQL.
Experience with data pipeline development tools in a modern data stack (dbt, Databricks, BigQuery, Airflow).
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.
Hands-on experience building data documentation and testing practices.
Pragmatism: balancing scrappiness and rigor.
Nice to Have
Prior work experience in a subscription business or B2B SaaS.
Experience working with tools in a data lake architecture (e.g., Spark).
Minimum Requirements
8 years of relevant experience
4+ years in data science, data engineering or analytics engineering
Strong proficiency in SQL
The anticipated salary range for this position is $174,000 - $243,600. The base salary 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 depend on multiple factors, including geographic location, skills, experience and other qualifications. This role is eligible for equity, comprehensive benefits, 401k, and flexible time off.
Calm may incorporate artificial intelligence technology to support the application review process, but human reviewers are involved in all stages of the hiring process.
Calm is committed to providing reasonable accommodations for qualified individuals with disabilities. If you require an accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case-by-case basis.
We believe that mental health is health, and we are committed to equal employment opportunities for all applicants and employees, regardless of 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 characteristic protected by law.
Employment offers are contingent upon the successful completion of a background check. Some roles may require drug screening. For US-based positions: Calm participates in E-Verify.
Right to Work
E-Verify Participation
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Mental Health Care
#J-18808-Ljbffr