Senior Analytics Engineer

What are we looking for?

We are looking for a Senior, Business Intelligence & Analytics Engineer to help us build best-in-class data products that deliver high-quality, trustworthy data and keep pace with our accelerated growth. These products must be built and maintained using best practices so they stay scalable and earn stakeholder trust as we grow in both size and scope. This person will work cross-functionally with technical and business stakeholders across the company, and will optimize our data stack to deliver trustworthy, discoverable, impactful data, served to both people and the AI tools they increasingly rely on.

What will you do?

• 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.

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.