Staff Data Analyst

SynaptiCure Inc.•Boston, MA

61d•Remote

About The Position

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 leaderâdefining 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. Youâll 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 leaderâmentoring other analysts, setting standards for data excellence, and ensuring our infrastructure and insights scale with our mission.

Requirements

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 skillsâcapable 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

Nice To Haves

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

Responsibilities

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 Synapticureâs 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 leadershipâframing 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.