Business Intelligence and Analytics Engineer

US - Remote

BetterHelp

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Who are we and why should you join us?

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.

What are we looking for?

We are looking for a Senior BI and Analytics Engineer to help us build best-in-class data tools that support our growth in the insurance space. This role will focus on data related to insurance payers, health plans, and healthcare systems, with a strong emphasis on HIPAA compliance and working with sensitive healthcare data.

You’ll work closely with both technical and business stakeholders across the company to deliver scalable, trustworthy, and impactful data solutions that empower teams working on insurance-related initiatives. These tools must follow best practices to ensure scalability, compliance, and stakeholder trust as we grow in both size and complexity.

What will you do?

  • Act as a subject matter expert (SME) and deliver training to cross-functional teams to enable data-driven decisions using insurance and healthcare datasets
  • Deliver dashboards and ad-hoc analyses with a focus on payer data and health plan performance
  • Collaborate with teams across the company to understand use cases involving insurance workflows and deliver high-value data tools
  • Live and breathe SQL
  • Ensure data quality and compliance at every stage of the pipeline, with a focus on HIPAA-compliant practices
  • Create reverse ETL flows to make modeled insurance-related data available directly in stakeholder tools
  • Define and build robust DataOps pipelines and data expectations to ensure secure and reliable delivery of insurance data
  • Integrate new data sources and software solutions related to payers and healthcare partners into the reporting environment
  • Support a data-driven culture by training stakeholders and creating documentation to empower others to explore and use insurance data responsibly
  • Enjoy great teamwork, have fun, and take pride in building a product that helps people access care through trusted insurance partnerships
  • Partner with data and ML engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker

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.

Requirements

  • BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering
  • At least 2 years of experience in analytics engineering, data engineering, data analytics, or a related field
  • Advanced experience with data pipeline tools and in-warehouse transformation tools (preferably dbt)
  • Advanced SQL skills
  • Experience working with OLAP data warehouses (e.g. Snowflake, BigQuery)
  • At least 1 year of experience working with BI tools (preferably Looker)
  • Experience building dimensional data models for healthcare or insurance data preferred
  • Excellent communication, attention to detail, and organizational skills
  • Experience using the command line and Git for version control
  • Familiarity with HIPAA compliance and handling PHI/PII in analytics workflows

Bonus (Great to have, but not required)

  • 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

Benefits

  • Remote work with regular in-person bonding experiences sponsored by the company
  • Competitive compensation 
  • Holistic perks program (including free therapy, employee wellness, and more)
  • Excellent health, dental, and vision coverage
  • 401k benefits with employer matching contribution
  • The chance to build something that changes lives – and that people love
  • Any piece of hardware or software that will make you happy and productive
  • An awesome community of co-workers

The base salary range for this position is $100,000 - $165,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

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Tags: Airflow Big Data BigQuery Business Intelligence Computer Science Data Analytics Data governance DataOps Data quality dbt Docker ECS Engineering ETL FiveTran Git Kubernetes Looker Machine Learning Mathematics OLAP Pipelines Python Snowflake SQL Statistics

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Salary bonus Startup environment Wellness

Regions: Remote/Anywhere North America
Country: United States

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