Senior Data Analyst - Clarity Pediatrics

Clarity Pediatrics is redefining pediatric chronic care in a fragmented, $100B category.

One in three American children has a common chronic condition like ADHD, allergies, asthma, and obesity – yet families struggle to get timely, high-quality care. Clarity scales virtual access to multi-specialty care, putting all the care a family needs in one place. We are turning a chaotic, fragmented, and expensive care journey into a clear path forward.

Since inception, we've raised $25M from leading VCs who invested early in category winners like One Medical, Hims, Spring Health, Cityblock, Alto Pharmacy, Strava, and Tia.

About the Role

Clarity Pediatrics is hiring a Senior Data Analyst to own analytics across the company to help define a deep understanding of the patient journey — measuring multiple dimensions of growth, conversion, care utilization, clinical outcomes, retention, and more. You'll own what our numbers mean, from the models that shape our raw data through to the definitions every dashboard draws on, so that a metric means the same thing everywhere.

This role is a strong fit for someone who is equally comfortable writing a complex SQL query, digging through messy production data to find out why two reports disagree, and recommending business solutions and opportunities to the leadership team. The work spans the whole company—clinical, growth, operations, and product.

What You'll Own

Strategic Business Intelligence

• Serve as the primary data advisor to C-suite and senior leadership, translating business questions into analytical frameworks and dashboards.
• Build and maintain executive dashboards that track business, clinical, operational, and product KPIs.
• Recommend ad-hoc analysis and deep-dive investigations to support strategic initiatives and market expansion.
• Develop and execute a comprehensive analytics roadmap.

Analytics Infrastructure & Tooling

• Transform operational and unstructured data into clean, analysis-ready datasets.
• Actively drive AI adoption by using it to accelerate analysis and identifying processes where AI can replace manual workflows.
• Monitor data quality and partner with engineering to troubleshoot pipeline issues to maintain trusted data sources.
• Collaborate with engineering teams to integrate new data sources and optimize data flows.

You'll Be Successful If You Have

• 5+ years in an analytics, data, or business intelligence role.
• Strong SQL skills and experience querying large, complex datasets.
• Hands-on experience with data models and a cloud warehouse (BigQuery, Snowflake, or Redshift).
• Proficiency with Python for data analysis.
• Proficiency with GitHub and version control workflows.
• Experience performing complex analyses and communicating insights to business stakeholders.
• Experience with BI and visualization tools (Sigma, Tableau, Looker, Power BI, Holistics, or similar).
• Track record of building dashboards and reporting that others rely on.
• Knowledge of statistics, data modeling, and healthcare analytics methodologies.
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
• Strong written, verbal, and presentation communication skills.
• High attention to detail and commitment to delivering high-quality work.
• Excitement about AI and the role it can play in making the entire company more efficient.

Nice to Have

• Experience with dbt or a similar transformation framework.
• Experience with healthcare data, and familiarity with PHI handling and HIPAA.
• Experience building agentic or LLM-based workflows.

Compensation and Benefits

• Base Salary: $150,000 – $175,000 per year
• Equity: Competitive equity stock option package
• Health Benefits: Comprehensive health, dental, and vision insurance options
• Retirement: 401(k) plan
• PTO: Flexible paid time off and company holidays
• Stipends: Remote work stipend and professional development allowance