Business Intelligence and Analytics Engineer

About Better Help

Better Help 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 in 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, Better Help is committed to being part of the solution.

As a Senior BI and Analytics Engineer at Better Help, 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. We deeply invest in our team’s well‑being and professional development, so you can make an immediate impact and grow in a supportive community.

• Act as a subject matter expert (SME) and deliver training to cross‑functional teams to enable business users to make data‑driven decisions.
• Deliver direct analytical insights such as dashboards and ad‑hoc analyses to business stakeholders.
• Collaborate with teams across the company to understand 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 Data Ops pipelines and data expectations to ensure 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 a data‑driven culture by training stakeholders and creating resources such as documentation to empower independent analysis.
• 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, Five Tran, Snowflake, dbt, and Looker.

• You will NOT worry about runway, cash left, or how much time until the next round.
• You will NOT be confined to a job; you will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT get bogged down by office politics, ego, or bad attitude. Only positive, pleasure‑to‑work‑with people are allowed.
• You will NOT get burned out; we work hard but maintain a sustainable work/life balance.

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.

• BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering.
• At least 4 years of experience in 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, Big Query).
• At least 1 year experience working & developing with BI tools (preferably Looker).
• Familiarity with frameworks and tradeoffs in building complex data models, preferably 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.

• Familiarity with patterns for handling large‑scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns).
• Experience working with Python‑based workflow orchestration tools…