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We are looking for a driven Data Analytics Intern to work directly with our leadership team on high-impact analytics projects across RCM, Sales, and AI product insights.
This is not a passive internship—you will work with real healthcare data, analyze billing performance, and help shape how we use data to drive automation and AI across the business.
What You’ll Do
RCM & Healthcare Analytics
- Analyze claims data, AR aging, denials, and payment trends
- Identify opportunities to improve collections, reduce denials, and optimize revenue cycle performance
- Build reporting around key RCM metrics (e.g., Days in AR, First-pass acceptance rate, collection rates)
AI & Product Analytics
- Support analytics for AI-driven products like AI Scribe
- Analyze usage patterns, accuracy trends, and provider behavior
- Help define metrics that measure AI performance and business impact
Sales & Business Analytics
- Build dashboards to track pipeline, conversion rates, and sales team performance
- Support outbound metrics (calls, demos set, close rates)
- Analyze customer acquisition and retention trends
Data & Dashboarding
- Build and maintain dashboards in tools like Salesforce, Excel, or BI platforms
- Clean, structure, and validate large datasets
- Deliver insights and present findings to leadership
Other
- Unpaid internship
- 40 hours per week
Requirements
- Currently pursuing or recently completed a degree in Data Analytics, Computer Science, Statistics, Economics, or a related field
- Strong analytical mindset with the ability to translate data into insights
- Proficiency in Excel/Google Sheets (must-have)
- Experience with SQL and/or Python (preferred)
- Interest in healthcare, AI, or SaaS business models
- Ability to work in a fast-paced, high-accountability environment
Benefits
- Hands-on experience in healthcare data + RCM analytics
- Exposure to building and measuring AI products in production
- Direct experience with SaaS metrics (ARR, MRR, churn, LTV, CAC)
- Opportunity to work closely with the CEO and leadership team
- Real ownership of projects with visible business impact
- Strong resume signal for careers in AI, healthcare, or analytics
- Letter of recommendation upon successful completion