Healthcare Revenue & RCM Systems Analyst

Talent Groups; Minnesota; Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

Talent Groups seeks a Health Care Business Systems Analyst in Minneapolis, MN to lead the analysis and design of revenue cycle management solutions. You will work across business, product, engineering, and data science teams to translate complex claims processes into actionable requirements and AI-enabled workflows.

The role emphasizes the lifecycle of healthcare claims, data analytics, and governance, with collaboration on AI and intelligent automation initiatives to improve accuracy and reduce

Qualifications

• Elucidate, analyze, and document complex requirements for business, operations, and systems.
• Translate problems into functional requirements, workflows, and user stories.
• Lead requirements workshops with business and technology stakeholders.
• Support end-to-end solution design and implementation activities.
• Verify delivered solutions meet objectives and acceptance criteria.

Responsabilités

• Analyze healthcare claims, provider billing, member utilization, and payment integrity opportunities.
• Support initiatives to prevent improper payments and reduce financial leakage.
• Collaborate with SMEs to understand clinical and non-clinical claim scenarios.
• Perform root cause analysis and identify process improvements.
• Translate risks into AI-ready business requirements and define intervention logic.

Connaissances

Business Analysis

Healthcare domain

SQL

Data analytics

AI/Automation

Workflow

Outils

Databricks

Snowflake

Tableau

Power BI

Description du poste

Talent Groups seeks a Health Care Business Systems Analyst in Minneapolis, MN to lead the analysis and design of revenue cycle management solutions. You will work across business, product, engineering, and data science teams to translate complex claims processes into actionable requirements and AI-enabled workflows.

The role emphasizes the lifecycle of healthcare claims, data analytics, and governance, with collaboration on AI and intelligent automation initiatives to improve accuracy and reduce