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 works with healthcare providers and health plans, including through CMS’ GUIDE dementia care model, to support individuals and families affected by neurodegenerative conditions such as Alzheimer’s disease, Parkinson’s disease, and ALS. Synapticure’s data team supports patient care, operational efficiency, and clinical outcomes by turning complex information into actionable insights.

About the Role

Synapticure is seeking an experienced Data Analyst to lead analytical strategy and support data-driven decision-making across clinical, operational, and financial functions. Reporting to the Head of Data, you will define analytical roadmaps, build scalable data models, establish consistent performance metrics, and lead initiatives that influence organizational strategy. This is a strategic and hands-on role that extends beyond routine reporting and dashboard development. You will partner with senior leadership and cross-functional teams, mentor other analysts, and establish standards for analytical quality, governance, and reproducibility. The ideal candidate combines advanced technical skills with strong business judgment and a commitment to improving healthcare through data.

Key Responsibilities

Define multi-quarter analytical roadmaps for major business areas, translating strategic objectives into measurable initiatives. Design and maintain scalable data models and semantic layers using dbt, Snowflake, or related technologies. Lead complex projects involving data integration and collaboration across Product, Clinical, Finance, and Operations teams. Advise senior and executive leaders by framing business questions, selecting appropriate analytical methods, and delivering actionable insights. Mentor analysts and establish standards for analytical rigor, reproducibility, and data quality. Define and maintain consistent enterprise-level key performance indicators (KPIs) across teams. Communicate 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 challenges into structured analytical plans that support measurable improvements in organizational performance and patient care.

Required Qualifications

At least 8 years of experience in advanced data roles, such as Data Analyst, Analytics Engineer, BI Architect, or an equivalent position. 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 platforms such as Tableau, Looker, Power BI, or Knowi. Ability to translate ambiguous business questions into structured analyses and actionable recommendations. Excellent communication and presentation skills, including the ability to influence executive stakeholders and cross-functional teams. Experience mentoring data professionals and implementing analytical best practices at scale. A demonstrated record of delivering measurable business and clinical impact through data-driven decision-making.

Preferred Qualifications

Experience with Python or R for advanced statistical modeling or machine learning. Knowledge of patient journey analytics, cohort development, and healthcare funnel analysis. Familiarity with value-based care metrics, risk adjustment, and clinical quality measurement. Experience with statistical methods, causal inference, and experimental design. Previous experience in a startup or high-growth environment, 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 Work Arrangement: Fully remote. Travel: Occasional travel to Synapticure’s headquarters in Chicago, Illinois, or other team gatherings may be required. Salary and Benefits Compensation: Competitive compensation based on experience. Benefits include comprehensive health, dental, and vision insurance; a 401(k) plan with employer matching; a flexible, remote-first work environment; a home office stipend and technology support; generous paid time off and sick leave; and opportunities for professional growth and advancement. Company Values Patient and Caregiver Focus: Prioritize an exceptional experience for patients and caregivers. Empathy and Compassion: Approach challenges with kindness, humanity, and understanding of the experiences of people living with neurodegenerative diseases. Curiosity and Continuous Learning: Listen to patients, partners, and colleagues, communicate openly, and remain willing to learn. Action and Opportunity: Stay focused on the company's mission and take action to address important challenges. 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 recruitment team but do not replace human judgment. Final hiring decisions are made by people. Applicants may contact the company for more information about how their data is processed.