Senior Analytics Engineer

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As a Senior Analytics Engineer at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

We are looking for a Senior 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.

• 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.

• 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.

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.

• At least 5 years of experience in analytics engineering, data engineering, data analytics, or a related field
• At least 4 years of experience working with business intelligence (BI) tools, preferably Looker or Omni
• At least 3 years of experience using dbt for in-warehouse data transformations
• Strong technical abilities in SQL, including "big data" scale query design, incrementality patterns, and performance optimization
• Deep understanding of frameworks and tradeoffs in building analytical data models (for example star schemas, analytics-ready design patterns, and dimensional modeling)
• Excellent communication skills, strong attention to detail, and effective time management
• Experience providing mentorship, supporting collaborative development, and conducting team pull request (PR) reviews
• Strong knowledge of data testing, including assertion design, coverage, orchestration, and data contracts
• Experience with version control using Git in a collaborative team environment
• Authorized to work in the U.S.

• BS/MA in a quantitative discipline such as Computer Science, Statistics, Mathematics, or Engineering
• Significant experience with dimensional modeling, including building fact and dimension tables at "big data" scale using Kimball-style or denormalized design patterns
• Experience building or maintaining a semantic or metrics layer (for example Snowflake semantic views, the dbt Semantic Layer, or LookML as a semantic layer), or otherwise designing data for AI and natural-language analytics
• Familiarity with data privacy and governance in a regulated or healthcare setting
• Hands-on experience with data pipelines and analytics using a scripting language, preferably Python
• Background working with web-based B2C products, especially in healthcare or marketing analytics
• Experience serving as an agile or technical lead within a data-driven organization
• Strong familiarity with stream event analytics and web event tracking tools (for example Snowplow, Mixpanel, or Amplitude)