Sr. Operations Quality Analyst

New
USFull-TimeSenior
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
Data AnalysisSaaS

Requirements

  • Associate’s or Bachelor’s degree in Business Administration, Finance, or related field, or equivalent experience.
  • 3+ years of experience in billing operations, revenue assurance, auditing, or financial operations roles.
  • Experience in SaaS, MSP, subscription, or services-based billing environments strongly preferred.
  • Strong understanding of contract terms, pricing models, and billing processes, including usage-based or subscription models.
  • Experience working with ERP, PSA, or billing systems and supporting system audits or implementations.
  • Strong analytical skills with the ability to identify patterns, inconsistencies, and root causes in complex datasets.
  • Excellent attention to detail with a strong focus on accuracy and data integrity.
  • Ability to collaborate effectively across finance, operations, and technical teams to resolve issues.
  • Strong communication skills with the ability to document findings and present insights clearly.
  • Proactive mindset with a focus on continuous improvement and process optimization.

Responsibilities

  • Perform pre-invoice validation of contracts, pricing structures, orders, and billing schedules.
  • Conduct post-invoice audits to identify billing discrepancies, revenue leakage, and inconsistencies.
  • Investigate root causes of billing errors and partner with cross-functional teams to resolve issues.
  • Validate product configurations, SKUs, entitlements, and billing logic against contractual terms.
  • Develop, implement, and enforce billing quality standards and controls across the O2C lifecycle.
  • Track, analyze, and report key performance indicators such as billing accuracy and error rates.
  • Build dashboards and analytical reports to monitor billing performance and operational risk.
  • Support system implementations, testing, and data validation during platform changes.
  • Identify opportunities for automation, process optimization, and AI-driven improvements.
  • Ensure compliance with internal policies, audit requirements, and operational best practices.
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