Senior Analytics Engineer at BetterHelp | JobsWithPay

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Employ your strong SQL and data modeling skills to propose, design, and build trusted tables in our data warehouse via dbt, serving as a single source of truth for business intelligence, data science, and machine learning use cases.
Lead end-to-end dimensional modeling efforts, from requirements gathering through implementation, testing, and delivery, creating high-quality data experiences and collaborating directly with stakeholders to support their analytical success.
Design and extend our semantic layer: the governed, metric-driven interface (built as Snowflake semantic views in dbt) that powers Looker and our natural-language BI chatbot, so stakeholders and AI agents get the same trusted answer to the same question. This includes defining canonical metrics, relationships, and verified queries grounded in real business questions.
Use your experience with business partners and your empathy for users to translate stakeholder needs into well-structured data models and downstream experiences in Looker.
Act as a subject matter expert (SME) for cross-functional teams, enabling data-driven decision-making through dashboards, self-serve tooling, and ad-hoc analyses, especially for data-forward teams like marketing, international growth, and insurance.
Uphold data governance and privacy in a healthcare environment, applying PII/PHI classification, masking policies, and data contracts so our data assets stay trustworthy and protected as they scale.
Build for performance and cost at "big data" scale, using incrementality patterns, sound warehouse and clustering choices, and query optimization so our models stay fast and efficient as volume grows.
Contribute to BetterHelp's data-driven culture by supporting self-service, improving data discovery and lineage, and fostering trust in our data assets.
Partner closely with data and machine learning engineers in our modern data stack, which includes dbt, Looker, Snowflake, Airflow, Snowplow, and Fivetran.
Enjoy great teamwork, collaborate with data-minded colleagues who care deeply about mental health, and take pride in building a world-class product that makes a difference in people's lives.