Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions.
Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders
Collaborate with the teams across the company to understand their use cases and deliver high value data tools
Live and breathe SQL
Ensure data quality and freshness at every step of the pipeline for data trust and consistency
Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making
Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services
Explore, propose, and integrate new data sources and software solutions into the reporting environment
Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses
Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives.
Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker

BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering
At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field
Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt)
Advanced experience with SQL
Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery)
At least 1 year experience working & developing with BI Tools (preferably Looker)
Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault)
Excellent communication (oral and written), attention to detail, time management and organizational skills
Experience and comfort using the command line
Experience using git for version control

Senior Business Intelligence Engineer, Analytics

Key skills