SynaptiCure Inc.-posted 4 days ago
Full-time • Mid Level
Remote • Boston, MA
11-50 employees

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. This is not a dashboarding or reporting role. 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. The ideal candidate is a seasoned data professional who brings deep technical expertise, exceptional business acumen, and a passion for improving healthcare through data. 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.
  • 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
  • Experience using Python or R for advanced statistical modeling or machine learning
  • Deep understanding of patient journey analytics, cohort building, and healthcare funnel analysis
  • Familiarity with value-based care metrics, risk adjustment, and clinical quality measurement
  • Background in statistical methods, causal inference, and experimental design
  • Prior startup or high-growth experience, ideally in health-tech or healthcare analytics
  • History of contributing to the data community through open-source projects, blog posts, or speaking engagements
  • 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
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