Data Analyst

Fabric is a healthcare organization focused on improving medical practice and patient care. The Data Analyst will provide customer insights, support medical leadership with actionable reporting, and partner with clinical teams to analyze healthcare data, build dashboards, and improve reporting workflows.

Responsibilities:

• Build and maintaining reporting that tracks physician performance, care quality, and consistency of clinical standards across the platform
• Design dashboards and visualizations that make clinical and business metrics easy to act on for both clinical and non-clinical leaders
• Partner closely with our client-facing organization to surface clinical insights for customers and prospects
• Collaborate with clinical operations and physician enterprise leaders to translate open questions into clear, well-scoped analyses
• Write and maintaining SQL for the data warehouse to transform raw clinical and operational data into analysis-ready datasets, utilizing AI coding assistants to accelerate query development
• Collaborate with product and engineering teams to improve the quality, structure, and reliability of underlying clinical data
• Support ongoing reporting needs to help the team move from one-off requests toward scalable, repeatable reporting
• Leverage AI tools for advanced data cleaning, initial pattern recognition, and drafting analytical summaries to increase efficiency

Requirements:

• This role requires proven quantitative and critical thinking skills along with a solid understanding of healthcare analytics
• you clearly communicate complex findings to diverse audiences, collaborate across multiple functions, and leverage modern AI tools to accelerate data processing and generate insights
• You enjoy translating ambiguous clinical questions into clear, actionable data models and dashboards
• You have a solid foundation in healthcare analytics and understand the nuances of clinical and operational data
• You excel at bridging the gap between technical data engineering and business-facing clinical leadership
• You are proactive in seeking out ways to scale reporting rather than manually answering the same questions repeatedly
• You are an early adopter of technology, actively using AI tools to write queries faster and streamline your analytical workflows
• 2+ years of experience analyzing data in a professional setting
• Proven proficiency in SQL
• Experience building dashboards or reports in a BI tool such as Tableau or Thoughtspot
• Familiarity with Python or R for complex analyses
• Proficiency in utilizing modern AI assistants for query generation, data cleaning, and workflow automation
• Bachelor's degree
• Comfort managing multiple analysis projects at once and adapting to shifting priorities in a fast-paced environment
• ideally within healthcare
• preferably in a quantitative discipline
• an advanced degree is a plus
• Familiarity with common healthcare datasets, standards, and measures such as HEDIS
• Experience with analytics tools such as Heap, Mixpanel, or Amplitude
• Experience with A/B testing, including statistical hypothesis testing methodologies
• Experience working within Databricks