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Proven digital treatments and programs that deliver effective, accessible care for the most common mental health conditions. Get started today.

Big Health

Big Health is a brand that is dedicated to helping millions achieve good mental health. They are revolutionizing digital medicine by providing evidence-based digital treatments for the most prevalent mental health conditions. Their mission is to make mental health care accessible to all through their inclusive, scalable, and affordable approach. Big Health combines leading clinical insight with the best in design and technology to create effective and user-friendly solutions. Their approach is backed by industry-leading peer-reviewed research and randomized controlled trials, ensuring the highest standards of quality and effectiveness. Big Health was founded by Peter Hames and Dr. Colin Espie, who discovered the potential of cognitive behavioral therapy (CBT) for insomnia and realized that it could help millions. Today, they continue to innovate and improve mental health care by simplifying adoption for both payers and patients. They have received recognition and awards for their digital therapeutics and have gained the trust and support of leading authorities in the field. With a team of dedicated leaders and advisors, Big Health is committed to helping millions back to good mental health.

Big Health Logo

## Company mission

To help millions back to good mental health.

Big Health delivers digital therapeutics for the most prevalent mental health conditions, beginning with "Sleepio" for insomnia, and "Daylight" for anxiety. The company's products are scientifically backed, with goals personalized as the product learns about each user, delivering unique experiences for different people. Big Health takes a B2B approach, selling to businesses so they can provide the product to their employees.

## Company benefits

- Health care: 100% employee coverage for medical, vision, and dental. Plus, free access to Sleepio for poor sleep, Daylight for worry and anxiety, Spark Direct for adolescent depression, and additional mental health benefits.
- Time off: 20 vacation days per year (accrued monthly), 9 federal holidays, and end-of-year company closure between Christmas Day and New Year's Day. Up to 10 sick days per year.
- Professional development: Employees receive a $1k USD or £800 stipend.
- Retirement savings: US Employees are eligible to participate in a 401(k) program with company match, and UK employees receive a pension program with NEST.
- Team building: Annual Summit in-person at SF HQ (virtual when needed), and regular social events.
- Family: Employees are eligible for parental leave on day one. Dependents are eligible for 50% coverage on medical, vision and dental plans, plus access to Sleepio, Daylight, and Spark Direct.

## Who you are

- 3+ years of experience in product analytics, data analysis, or a related analytical role, preferably in a product-driven technology company
- Strong SQL skills and experience working with large datasets in modern data warehouses like Snowflake, BigQuery, or Redshift
- Experience with dbt or similar data transformation tools for building modular, tested, and documented data models
- Proficiency in version control systems like Git for managing code and collaborating with data and engineering teams
- Proficiency in analytics tools such as Python or R for statistical analysis and data manipulation
- Familiarity with BI visualization tools like Looker, Tableau, or Mode
- Basic understanding of data pipeline orchestration and workflow management tools such as Airflow or similar. Familiarity with ELT/ETL processes and data integration tools like Fivetran, Stitch, or custom-built pipelines
- Solid understanding of statistical concepts including hypothesis testing, regression analysis, and experimental design. Experience designing and analyzing A/B tests with proper statistical rigor
- Familiarity with healthcare concepts and terminology are highly desirable
- Strong communication skills

## What the job involves

- Drive data-informed product decisions by improving data democratization, analyzing data, generating insights, and generating reports
- Partner closely with product, growth, enrollment marketing, and client implementation teams to understand user behavior, measure product performance, and identify opportunities for growth and improvement
- Use SQL to query data in Snowflake
- Update Snowflake data models, consistent with current data architecture
- Use LookML to add new dimensions, measures, table calculations, and explores to Looker
- Create dashboards in Looker and Post Hog to support growth, enrollment marketing, client implementation, product initiatives, and/or company OKRs
- Conduct deep-dive analyses using data from Snowflake and Looker to understand user behavior patterns, identify friction points in the user journey, and uncover opportunities for product enhancement. Analyses may include, but are not limited to, descriptive analytics, correlation, regression, and between-group analyses
- Present the results of these analyses to a cross-functional audience, translating complex data findings into actionable recommendations
- Build externally-facing reports that provide stakeholders with clear visibility into user engagement, and feature adoption, clinical outcomes, and recommendations for optimal product use
- Provide data to help justify and inform decision-making around A/B tests and experiments to validate product hypotheses and measure the impact of new features or changes
- Use DBT to build data models and add new data sources to Snowflake
- Assist with updating data dictionary and ERD
- Communicate proactively. During onboarding, you will meet 3-5x/week with your supervisor to provide updates on ticket status and to ask questions. Asking questions outside of these meetings is expected and welcomed
- Work with your supervisor and relevant stakeholders to proactively discuss requirements when questions arise

**Compensation:** $50 - $80 an hour (Contractor)

**Work Arrangement:** Remote from US

**Level:** Mid and Senior level

Big Health Product Data Analyst | Welcome to the Jungle (formerly Otta)

Pioneering the next generation of BI, data discovery & data analytics

Looker

Fast, scalable, distributed revision control system

Data Analysis

Statistical Analysis

Senior Data Analyst

Snowflake

dbt helps data teams work like software engineers—to ship trusted data, faster.

The role involves driving data-informed product decisions, partnering with various teams, and conducting deep-dive analyses to improve product performance and user engagement.

Big Health

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