About the Company
Synapticure is a patient- and caregiver-founded healthcare company providing virtual access to expert neurologists, advanced treatments, clinical trials, care coordination, and behavioral health support across all 50 states. The company partners with healthcare providers and health plans, including through CMS's GUIDE dementia care model, to improve care for individuals and families affected by neurodegenerative diseases such as Alzheimer's, Parkinson's, and ALS.
Synapticure's Data team supports patient care, operational efficiency, and clinical innovation by transforming complex data into actionable insights.
About the Role
Synapticure is seeking an experienced Data Analyst to join its growing Data team, reporting to the Head of Data. This role will lead analytical strategy across major business areas, develop scalable data models, and deliver insights that inform clinical, operational, and financial decisions.
The position extends beyond dashboards and routine reporting. The successful candidate will translate complex business challenges into structured analytical frameworks, establish consistent performance metrics, and partner with senior leadership and cross-functional teams. The role also involves mentoring analysts, strengthening data governance, and ensuring analytical processes remain reliable as the organization grows.
Key Responsibilities
- Define multi-quarter analytical roadmaps for major business areas, including Clinical, Growth, or Operations.
- Design and maintain scalable data models and semantic layers using dbt, Snowflake, and related technologies.
- Lead complex analytical initiatives involving multiple data sources and collaboration across Product, Clinical, Finance, and Operations.
- Partner with senior and executive leaders to frame business questions, guide analytical methodologies, and deliver insights that influence organizational strategy.
- Mentor analysts and establish standards for analytical rigor, reproducibility, and data quality.
- Define and maintain consistent enterprise-level key performance indicators (KPIs).
- Present analytical findings through clear narratives that connect technical results with business and clinical outcomes.
- Maintain high standards for data integrity, governance, documentation, and analytical infrastructure.
- Translate ambiguous business questions into actionable analytical plans and measurable initiatives.
Required Qualifications
- At least 8 years of experience in advanced data roles, such as Data Analyst, Analytics Engineer, BI Architect, or equivalent, with demonstrated 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 data transformation pipelines using dbt or equivalent modern data stack tools.
- Hands-on experience designing and maintaining production-grade data models in Snowflake, BigQuery, or Redshift.
- Strong knowledge of business intelligence tools such as Tableau, Looker, Power BI, or Knowi, including scalable analytics environments.
- Ability to translate ambiguous business questions into structured analytical approaches and actionable insights.
- Excellent communication and presentation skills, with the ability to influence executive stakeholders and cross-functional teams.
- Demonstrated experience mentoring data professionals and implementing analytical best practices at scale.
- A proven record of delivering measurable business and clinical impact through data-driven decision-making.
Preferred Qualifications
- Experience using Python or R for advanced statistical modeling or machine learning.
- Strong understanding of patient journey analytics, cohort development, and healthcare funnel analysis.
- Familiarity with value-based care metrics, risk adjustment, and clinical quality measurement.
- Knowledge of statistical methods, causal inference, and experimental design.
- Experience in a startup or high-growth organization, preferably in health technology or healthcare analytics.
- Contributions to the data community through open-source projects, blog posts, or speaking engagements.
Location and Work Arrangement
- Fully remote position.
- Occasional travel to Synapticure's headquarters in Chicago, Illinois, or other team gatherings may be required.
Compensation and 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.
Company Values
- Patient and caregiver focus, prioritizing an exceptional experience for everyone the company serves.
- Empathy, compassion, kindness, joy, and hope when supporting individuals and families affected by neurodegenerative diseases.
- Curiosity, active listening, authentic communication, humility, and a commitment to continuous learning.
- A bias toward action and a commitment to advancing the company's mission.
Hiring Process and Data Privacy
Synapticure may use AI tools to support parts of the hiring process, including application review, resume analysis, and response assessment. These tools assist the recruiting team but do not replace human judgment. Final hiring decisions are made by people. Candidates seeking additional information about how their data is processed may contact the company.