What We Do

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?). 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 a Senior Analytics Engineer you will take a leading role designing and developing scalable data models that power our data-as-a-product offerings for external customers, as well as 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 first and third party data sources and translate this knowledge into performant analytical data models.

You will:

• Lead the development of data models powering our data-as-a-product offering for B2B customers
• Design and build data models to enable experimentation, machine-learning, analysis and reporting
• Collaborate with partners across technical and non-technical teams to bridge the gap between data and action 
• Inform key decision makers about the state of the business through internal data products
• Partner with data scientists to drive strategic decisions through data-driven analysis
• Own the development, testing, documentation and evangelism of our core data models
• Utilize analytical tools such as Mode and Tableau to help our business and data science partners to build actionable insights
• Develop strong cross-functional partnerships across Calm to drive success

Some past projects 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 a testing and alerting system for critical data products
• 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 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, Redshift, BigQuery, and 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 experiencing building data documentation and testing practices
• Pragmatism: balancing scrappiness and rigor

Nice to Haves

• Experience building data products for external customers
• 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 of experience in analytics
• Strong proficiency in SQL

The base salary ranges below represent the low and high end of Calm’s salary range for this position in various geographic locations. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, experience and other qualifications. 

In the United States, Calm has four geographic pay zones. For this position, the base pay ranges for candidates in each zone are: 

Zone A: $174,000 - $243,600

Zone B: $156,600 - $219,240

Zone C: $147,900 - $207,060

Zone D: $139,200 - $194,880

This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.