Product Data Analyst Contractor

Big Health

1d•$50 - $80•Remote

About The Position

At Big Health, our mission is to help millions back to good mental health by providing fully digital, non-drug options for the most common mental health conditions. Our FDA-clear digital therapeuticsâSleepioRx for insomnia and DaylightRx for anxietyâguide patients through first-line recommended, evidence-based cognitive and behavioral therapy anytime, anywhere. Our digital program, Spark Direct, helps to reduce the impact of persistent depressive symptoms. In pursuit of our mission, weâve pioneered the first at-scale digital therapeutic business model in partnership with some of the most prominent global healthcare organizations, including leading Fortune 500 healthcare companies and Scotlandâs NHS. Through product innovation, robust clinical evaluation, and a commitment to equity at scale, we are designing the next generation of medicine and the future of mental health care. Our Vision Over the next 5-10 years, we believe digital therapeutics will transform the delivery of healthcare worldwide by providing access to safe and effective evidence-based treatments. Big Health is positioned to take the lead in this transformation. Big Health is a remote-first company, and this role can be based anywhere in the US. Join Us We're seeking a Product Data Analyst contractor to drive data-informed product decisions by improving our data democratization, analyzing data, generating insights, and generating reports. You'll 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.

Requirements

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

Responsibilities

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.