Remote Senior Data Scientist – EHR & Revenue Ops Analytics

Rula; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote‑first culture

Health benefits

401(k) plan

Paid parental leave

Home office stipend

Wellness stipend

EAP

Job summary

Rula is a remote-first company hiring in most U.S. states (excluding Hawaii) to bolster its Analytics team. This role supports the EHR and Revenue Cycle Management product and operations, and customer support, turning complex data into clear insights.

You will work with Product, Operations, Finance, Accounting, Billing, Data, and Customer Experience to improve metrics, test hypotheses, and drive data‑driven decisions across the platform.

Qualifications

• 7+ years of analytics or data science experience with 2+ years in financial analytics or operations analysis
• Experience working with non-technical cross-functional stakeholders
• Strong experience with designing, deploying, and interpreting A/B tests
• Deep understanding of financial metrics (CAC, billing, retention, LTV) and operational metrics, translating data into insights
• Expert-level Python or SQL and hands-on data visualization with Looker/Tableau/Hex

Responsibilities

• Serve as the analytical engine for Rula's EHR and RCM product and operations, plus customer support
• Collaborate with Product, Operations, Finance, Accounting, Billing, Data, and Customer Experience to investigate complex account questions
• Analyze metrics and experiments to improve the EHR platform and billing workflows
• Identify breakdowns in billing processes and help teams draw data-driven conclusions to enhance accuracy and sustainable growth

Skills

Python

SQL

A/B testing

Financial analytics

Data visualization

Cross-functional collaboration

Tools

Looker

Tableau

Hex

Job description

Rula is a remote-first company hiring in most U.S. states (excluding Hawaii) to bolster its Analytics team. This role supports the EHR and Revenue Cycle Management product and operations, and customer support, turning complex data into clear insights.

You will work with Product, Operations, Finance, Accounting, Billing, Data, and Customer Experience to improve metrics, test hypotheses, and drive data‑driven decisions across the platform.