Staff Data Analyst (Medtech)

TL;DR

Staff Data Analyst (Medtech): Defining how hirify.global measures success, tells stories through data, and drives organizational decision-making at the highest levels with an accent on clinical outcomes and operational efficiency. Focus on translating complex business problems into clear analytical frameworks that improve the lives of patients and families nationwide.

Location: Remote (Chicago, IL / Boston, MA / Dallas, TX / California / New York City, New York / Phoenix, AZ / Seattle, WA)

Company

hirify.global 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.

What you will do

• Define and govern analytical strategy for a major business area, translating strategic objectives into measurable data initiatives.
• Architect data models and serve as the principal steward of hirify.global’s data models and semantic layers (dbt/Snowflake).
• Manage complex, high-impact projects that require integration of diverse data sources and alignment across teams.
• Act as a trusted advisor to senior and executive leadership, framing key questions and delivering data-driven insights.
• Provide technical mentorship to other analysts and establish standards for analytical rigor.
• Communicate analytical findings through compelling narratives that connect technical results to business and clinical impact.

Requirements

• 8+ years of experience in advanced data roles with proven impact in complex, high-growth organizations.
• Deep understanding of healthcare data ecosystems, including CMS data, clinical workflows, 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, or Power BI, including building scalable analytics environments.
• Exceptional communication and presentation skills, capable of influencing C-level stakeholders and cross-functional teams.

Nice to have

• 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.
• Prior startup or high-growth experience, ideally in health-tech or healthcare analytics.

Culture & Benefits

• Remote-first company with values at the heart of everything.
• Relentless focus on patients and caregivers.
• Flexible, remote-first work environment.
• Generous paid time off and sick leave.
• Opportunities for professional growth and advancement.