Senior Data Analyst (Remote)

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Job Summary:

Daybreak Health is on a mission to provide mental health support to young people, partnering with schools and health insurance companies to make care accessible. They are seeking a Senior Data Analyst to enhance their analytics ecosystem, focusing on data quality, forecasting, and strategic insights to inform decision-making across teams.

Responsibilities:

• Act as a strategic analytics partner to our Operations and Product teams—defining and tracking key metrics, uncovering actionable insights, and helping teams prioritize based on data.

• Lead the maintenance and evolution of our modern analytics stack, including SQL, Looker, dbt, BigQuery, and Fivetran—ensuring data quality, reliability, and scalability.

• Own and continuously improve forecasting models for supply and demand, with a focus on optimizing school program delivery and freemium-to-paid user conversion.

• Support and optimize advanced GSheets-based workflows that are central to operational and resource planning.

• Translate complex business questions into clear, actionable analyses, delivering insights and recommendations that drive strategic decisions.

• Lead cross-functional initiatives that improve our data infrastructure, enhance reporting accuracy, and increase organizational trust in metrics.

• Shape the long-term vision for analytics at Daybreak, including our transition to OASIS and a broader shift toward product-led, data-informed decision making.

Qualifications:

Required:

• Expert-level SQL proficiency – You can write efficient, scalable queries and are comfortable debugging and reverse-engineering complex logic across large, multi-source datasets.

• Extensive experience with Looker and LookML – You’ve built robust data models, implemented scalable data architecture, and designed user-friendly dashboards that empower teams to self-serve insights.

• Hands-on knowledge of dbt and the modern data stack – You’ve worked with tools like BigQuery, Fivetran, and dbt to transform, test, and maintain clean and reliable data pipelines.

• Strong business acumen – You understand how to translate technical output into actionable insights, and you’re comfortable partnering across product, operations, and leadership to drive data-informed decisions.

• Experience owning forecasting or planning models – You’re confident in building and reasoning through planning frameworks, even when data is sparse or assumptions are required.

• Comfort with Python – While not a software engineer, you’re able to read and debug Python scripts, especially in the context of analytics workflows like scoring models, data matching logic, or basic ML implementations.

• A track record of independent ownership – You’re proactive, capable of influencing without authority, and skilled at aligning stakeholders through clear, data-backed communication.

• Experience scaling data infrastructure – You’ve contributed to improving analytics systems and processes, particularly in 0→1 or high-growth environments where scrappiness and scalability matter.

Preferred:

• Experience with behavioral health, healthcare operations, or tech-enabled services.

• Exposure to EHR systems, or analytics in regulated/clinical environments.

• Familiarity with change management or analytics migrations.

• Mentorship experience—formal or informal coaching of junior analysts or data-savvy peers.

Company:

Daybreak Health specializes in providing online counseling services, especially for teens, helping to stabilize their mental fitness. Founded in 2019, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage.