Staff Data Analyst

Synapticure; New York (NY); On-site; Full time

Benefits offered by this job

Comprehensive health, dental, and vision insurance

401(k) plan with employer matching

Flexible, remote-first work environment

Home office stipend

Generous paid time off

Job summary

A healthcare technology company is seeking a Data Analyst to lead analytical strategies that drive decision-making in healthcare. This fully remote position requires 8+ years in advanced data roles with expertise in SQL and data modeling, along with knowledge of healthcare data systems. Responsibilities include defining analytical roadmaps, managing data models, and mentorship. The role emphasizes a patient-first approach and fosters a culture of professional growth and innovation.

Qualifications

• 8+ years of experience in advanced data roles.
• Deep understanding of healthcare data ecosystems.
• Expert-level SQL proficiency and experience with modern data stack tools.

Responsibilities

• Establish the multi-quarter analytical roadmap for a major business area.
• Serve as the principal steward of data models and ensure scalability.
• Manage complex, high-impact projects across teams.

Skills

SQL proficiency

Data modeling

Communication skills

Mentorship

Education

Bachelor's degree in relevant field

Tools

Snowflake

dbt

Tableau

Python

Job description

About Synapticure

As a patient and caregiver‑founded company, Synapticure provides instant access to expert neurologists, cutting‑edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states through a virtual care platform. Partnering with providers and health plans, including CMS’ new GUIDE dementia care model, Synapticure is dedicated to transforming the lives of millions of individuals and their families living with neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and ALS.

Our data team powers the insights behind patient care, operational efficiency, and innovation in clinical outcomes—turning data into actionable intelligence that improves the lives of patients and families nationwide.

The Role

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.

Job Duties – What You’ll Be Doing

• 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

Requirements – What We Look For In You

• 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

Preferred Qualifications

• 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

We’re founded by a patient and caregiver, and we’re a remote‑first company. This means our values are at the heart of everything we do, and while we’re located all across the country, these principles are what tie us together around a common identity:

• Relentless focus on patients and caregivers. We are determined to provide an exceptional experience for every patient we have the privilege to serve, and we put our patients first in everything we do
• Embody the spirit and humanity of those living with neurodegenerative disease. Inspired by our founders, families, and personal experiences, we meet every challenge with empathy, compassion, kindness, joy, and hope
• Seek to understand, and stay curious. We start by listening to one another, our partners, our patients, and their caregivers. We communicate with authenticity and humility, prioritizing honesty and directness while recognizing we always have something to learn
• Embrace the opportunity. We are energized by the importance of our mission and bias toward action

Travel Expectations

This is a fully remote position. Occasional travel to Synapticure’s headquarters in Chicago, IL or other team gatherings may be required.

Salary & 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.