Model N Revenue Management Consultant

Remote • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Google Cloud Platform
  • Extract, Transform, Load
  • Good Clinical Practice
  • Conflict Resolution
  • Data Analysis
  • Data Migration
  • Cloud Computing
  • Collaboration
  • Microsoft Azure
  • Communication
  • Life Sciences
  • Medicaid
  • Analytical Skill
  • Apache Flex
  • Pharmaceutics
  • Business Intelligence
  • Model N
  • Oracle ERP
  • Acceptance Testing
  • Agile
  • Reporting
  • Revenue Management
  • ROOT
  • Rebates
  • Regulatory Compliance
  • Amazon Web Services
  • Testing
  • Web Services
  • Pricing
  • Problem Solving
  • SAP
  • SQL
  • Scrum

Summary

Model N Revenue Management Consultant
Location: Remote 
Duration: Long-Term Contract
 
Required Skills
  • 5+ years of hands-on experience with Model N Revenue Management
  • Strong experience implementing, configuring, and supporting Model N Revenue Management solutions
  • Experience with Chargebacks, Rebates, Government Pricing, Medicaid, and Contract Management
  • Strong understanding of pharmaceutical or life sciences business processes
  • Experience with Model N Flex or Model N Cloud is preferred
  • Strong SQL skills for data analysis, validation, and troubleshooting
  • Experience with SAP or Oracle ERP integrations
  • Knowledge of data migration, ETL processes, and system integrations
  • Experience supporting production issues and performing root cause analysis
  • Strong analytical, problem-solving, and communication skills
  • Experience working in Agile/Scrum environments
Preferred Skills
  • Experience with Model N implementation or upgrade projects
  • Knowledge of pharmaceutical pricing, compliance, and revenue management processes
  • Experience with APIs, web services, and integration technologies
  • Exposure to AWS, Azure, or Google Cloud Platform cloud platforms
  • Familiarity with reporting and business intelligence tools
  • Experience with testing, validation, and user acceptance testing (UAT)
  • Ability to collaborate with cross-functional business and technical teams
  • Model N certifications or relevant life sciences domain experience are a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91008924
  • Position Id: 9013515
  • Posted 1 day ago
Contact the job poster
LC

Leena Chakka

Recruiter @ INGENworks
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