Transforming complex healthcare and operational data into actionable insights that drive strategic decisions across the organization.
Requirements
Deep knowledge of healthcare data ecosystems, including CMS data, clinical workflows, and regulatory requirements.
Expert-level proficiency in SQL and hands-on experience with transformation pipelines using dbt or similar tools.
Experience designing and maintaining production-grade data models in cloud environments (Snowflake, BigQuery, or Redshift).
Proficiency with BI tools like Tableau, Looker, Power BI, or Knowi; experience building scalable analytics environments.
Strong ability to translate ambiguous business questions into structured analytical plans and actionable insights.
Proven experience mentoring other analysts and implementing analytical best practices at scale.
Experience in Python or R for advanced modeling or machine learning is a plus.
Responsibilities
Define and govern analytical strategies, translating business objectives into actionable data initiatives.
Architect and maintain scalable, production-grade data models and transformation pipelines using modern data stack tools (e.g., dbt, Snowflake, BigQuery, or Redshift).
Lead cross-functional initiatives, integrating diverse data sources and aligning with Product, Clinical, Finance, and Operations teams.
Serve as a strategic partner to senior leadership, framing questions, guiding methodology, and delivering impactful insights.
Mentor analysts and set standards for analytical rigor, reproducibility, and data quality.
Define enterprise-level KPIs, maintain consistent metric definitions, and ensure alignment across teams.
Communicate findings through compelling data storytelling that connects technical results to operational, financial, and clinical impact.
Other
8+ years of experience in advanced data roles such as Data Analyst, Analytics Engineer, or BI Architect within high-growth, complex organizations.
Exceptional communication and presentation skills, capable of influencing cross-functional teams and C-level stakeholders.
Prior startup or high-growth experience, especially in health-tech, is an advantage.
Flexible, remote-first work environment with occasional travel for team gatherings.
