Senior Business Intelligence and 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 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, BetterHelp is committed to being part of the solution.

As a Senior BI and 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 Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope.

You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs.

• 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

• 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.

• BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering
• At least 2 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

• 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 (e.g. Airflow)
• Experience working with Docker and container orchestration (e.g. Kubernetes, ECS)
• Experience with web-based B2C, marketplace products
• Familiarity with web event tracking tools like Snowplow
• Experience defining and building DataOps practices and deployment strategies
• Experience defining data governance procedures & working with data catalogs