Full Stack Data Analyst

Responsibilities

Synapticure is seeking an experienced and visionary Data Analyst to join our growing Data team
Reporting to the Head of Data, you will serve as a key analytical thought leader—defining how Synapticure measures success, tells stories through data, and drives organizational decision-making at the highest levels
You will own the analytical vision for major functional areas, architect scalable data models, and lead cross-functional initiatives that influence clinical, operational, and financial strategy
You’ll transform complex, ambiguous business problems into clear, rigorous analytical frameworks that drive real-world impact for patients, caregivers, and providers
You will act as both a strategist and a hands-on technical leader—mentoring other analysts, setting standards for data excellence, and ensuring our infrastructure and insights scale with our mission
Define and Govern Analytical Strategy: Establish the multi-quarter analytical roadmap for a major business area (e.g., Clinical, Growth, or Operations), translating strategic objectives into measurable, actionable data initiatives
Architect Data Models: Serve as the principal steward of Synapticure’s data models and semantic layers (dbt/Snowflake), ensuring scalability, performance, and data integrity across the enterprise
Lead Cross-Functional Initiatives: Manage complex, high-impact projects that require integration of diverse data sources and alignment across Product, Clinical, Finance, and Operations teams
Strategic Partnership: Act as a trusted advisor to senior and executive leadership—framing key questions, guiding methodology, and delivering data-driven insights that shape company direction
Mentorship & Team Development: Provide technical mentorship to other analysts, establish standards for analytical rigor and reproducibility, and elevate the analytical maturity of the entire organization
Define and Govern Key Metrics: Create and maintain consistent definitions for enterprise-level KPIs to ensure alignment and accuracy across teams
Storytelling with Data: Communicate analytical findings through compelling narratives that connect technical results to business and clinical impact
Champion Data Integrity: Lead by example in maintaining high standards of quality, governance, and documentation across all analytical outputs and infrastructure

Skills

The ideal candidate is a seasoned data professional who brings deep technical expertise, exceptional business acumen, and a passion for improving healthcare through data
8+ years of experience in advanced data roles (Data Analyst, Analytics Engineer, BI Architect, or equivalent) with proven impact in complex, high-growth organizations
Deep understanding of healthcare data ecosystems, including CMS data, clinical workflows, value-based care models, and regulatory compliance
Expert-level SQL proficiency and experience building transformation pipelines using dbt or equivalent modern data stack tools
Hands-on experience designing and maintaining production-grade data models within Snowflake, BigQuery, or Redshift environments
Strong knowledge of BI tools such as Tableau, Looker, Power BI, or Knowi, including building scalable analytics environments
Proven ability to translate ambiguous business questions into structured analytical plans and actionable insights
Exceptional communication and presentation skills—capable of influencing C-level stakeholders and cross-functional teams
Demonstrated experience mentoring data professionals and implementing analytical best practices at scale
Proven track record of delivering measurable business and clinical impact through data-driven decision-making

Benefits

💼 Competitive compensation based on experience
🩺 Comprehensive health, dental, and vision insurance
💰 401(k) plan with employer matching
🌍 Flexible, remote-first work environment
🏡 Home office stipend and technology support
🌴 Generous paid time off and sick leave
📈 Opportunities for professional growth and advancement