Senior Business Intelligence and Analytics Engineer

Business Intelligence and Analytics Engineer

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 across the globe.

As a BI and Analytics Engineer, you will work with licensed clinicians, engineers, product professionals, creatives, marketers, and business leaders to develop best‑in‑class data tools that support our mission.

We need a data professional who can build scalable data tools, collaborate with cross‑functional teams, and maintain data quality across the pipeline.

• Act as a subject matter expert and deliver training to cross‑functional teams to enable data‑driven decisions.
• Deliver direct analytical insights such as dashboards and ad‑hoc analyses to business stakeholders.
• Collaborate with teams to understand use cases and deliver high‑value data tools.
• Write and maintain SQL for data extraction and transformation.
• Ensure data quality and freshness throughout the pipeline.
• Create reverse ETL flows to deliver modeled data directly to stakeholders.
• Define and build robust Data Ops pipelines and data expectations.
• Propose and integrate new data sources and software solutions into the reporting environment.
• Teach stakeholders and create documentation to empower data analysis.
• Work with data and machine learning engineers on a modern data stack:
  Airflow, Five Tran, Snowflake, dbt, and Looker.

• You won’t worry about runway or funding cycle.
• You won’t be confined to a narrow job scope; you’ll participate across product, marketing, and strategy.
• You won’t encounter office politics or ego; we foster positive culture.
• You won’t burn out; we promote healthy work‑life balance.

Yes. We operate on PST and welcome candidates in any time zone. Employees are expected to travel to our San Jose, CA office up to three times per year and attend a company‑wide off‑site. Travel expenses are covered.

• Ability to work in the US (visa sponsorship not available for this role).
• 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, or related field.
• Advanced experience with data pipeline tools, especially in‑warehouse transformation tools (preferably dbt).
• Advanced experience with SQL.
• Experience designing performant tables in OLAP warehouses (e.g., Snowflake, Big Query).
• At least 1 year experience with BI tools (preferably Looker).
• Familiarity with dimensional modeling frameworks (e.g., Kimball, Data Vault).
• Excellent communication, attention to detail, time management, and organizational skills.
• Comfort using the command line.
• Experience using git for version control.

• Experience with large‑scale data transformations (dbt incremental models, scaling patterns).
• Experience with Python workflow orchestration tools (e.g., Airflow).
• Experience with Docker and container orchestration (Kubernetes, ECS).
• Experience with web‑based B2C marketplace products.
• Familiarity with web event tracking tools like Snowplow.
• Experience defining and building Data Ops practices and deployment strategies.
• Experience with data governance, catalogs, and procedures.

• Remote work with regular in‑person bonding experiences.
• Competitive compensation.
• Holistic perks program (free therapy, wellness, etc.).
• Excellent health, dental, and vision coverage.
• 401(k) benefits with employer matching.
• Opportunity to build something that changes lives.
• Equipment and software as needed.
• A supportive community of co‑workers.

Base salary range: $100,000 - $140,000, plus performance bonus and benefits described above (subject to eligibility). This information applies to all full‑time positions.

At Better Help 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 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.