Become a MindWiser!

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Experience: 3-6 Years

Location: Remote

Type: Full Time

Job Overview

We’re looking for a Business Analyst who understands Revenue Cycle Management (RCM) deeply and can work at the intersection of business, data, and AI. This is not a documentation-heavy, passive role, you’ll actively translate messy real-world workflows into structured inputs that data scientists can use to build impactful AI models.

The ideal candidate understands RCM workflows end to end and can bridge the gap between healthcare stakeholders and technical teams.

Roles and Responsibilities

Work closely with stakeholders (operations, billing teams, leadership) to understand RCM workflows such as: 

• Claims processing 
• Denials management 
• Eligibility & authorizations 
• Payment posting & AR follow-ups 

Translate business problems into clear, structured requirements for data science and engineering teams 

Break down ambiguous use cases into: 

• Defined problem statements 
• Input/output expectations 
• Success metrics (accuracy, coverage, ROI impact) 

Create detailed documentation such as: 

• Business Requirement Documents (BRDs) 
• Functional specs for AI/ML use cases 
• Data dictionaries and feature definitions 

Write and optimize SQL queries to: 

• Extract, validate, and analyze large datasets 
• Support model training and evaluation 
• Identify patterns, anomalies, and opportunities 

Collaborate with Data Scientists to: 

• Refine features and model inputs 
• Validate outputs against real-world scenarios 
• Iterate on model performance based on business feedback 

Act as a bridge between RCM operations and technical teams, ensuring what gets built actually solves real problems
 

Skills and Qualifications

• 3–6 years of experience as a Business Analyst in healthcare/RCM domain
• Strong hands-on experience with Revenue Cycle Management, including areas such as claims, coding, billing, denials, AR, and payments
• Hands-on experience with SQL (must-have) not just basic queries 
• Experience working with data teams / data scientists / AI or analytics projects 
• Ability to convert ambiguous business needs into structured, actionable requirements 
• Strong analytical thinking and problem-solving skills