Senior Data Analyst

Clarity Pediatrics is hiring a Senior Data Analyst to own company-wide analytics and define a consistent understanding of the patient journey across growth, care utilization, clinical outcomes, and retention. The role advises leadership, builds dashboards and analytics infrastructure, and partners across clinical, growth, operations, product, and engineering teams to support strategic decisions and trusted data.

Responsibilities:

• 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
• 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

Requirements:

• 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
• Proficient with Python for data analysis
• Proficient 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
• 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