The Revenue Operations Analyst, CPaaS plays a crucial role in safeguarding revenue integrity and ensuring accurate financial operations across the business. This role sits at the intersection of Finance, Sales Operations, Product, and Delivery, responsible for analyzing commercial data, identifying revenue or margin leakage, and implementing controls to prevent future occurrences.
You'll work hands-on with internal systems, supplier invoices, Power BI dashboards, and CRM data to ensure that what's sold, delivered, and invoiced is aligned and that commissions, costs, and margins are accurate and transparent.
Key Responsibilities
Revenue Assurance & Margin Analysis
- Monitor end-to-end revenue flow across quoting, billing, and supplier systems to detect discrepancies or leakage.
- Compare supplier invoices against internal data (usage, pricing, and cost metrics) to validate accuracy and flag anomalies.
- Perform margin and cost analysis to identify unprofitable customers, pricing errors, or billing mismatches.
- Partner with Finance and Product teams to ensure cost structures and supplier rates are correctly reflected in pricing models.
Commissions & Incentives
- Calculate and validate monthly sales commissions based on deal data, revenue recognition, and payment terms.
- Maintain commission trackers, ensuring data consistency between Salesforce, billing, and finance systems.
- Support leadership with analysis of compensation performance, target attainment, and payout accuracy.
Data Analysis & Reporting
- Build and maintain dashboards (Power BI or Excel) to monitor revenue, margins, and deal performance.
- Create actionable insights for leadership on trends in profitability, leakage, or cost fluctuations.
- Assist in monthly/quarterly business reviews with clear, data-driven summaries and recommendations.
Process Improvement & Governance
- Identify recurring issues causing revenue or margin leakage and drive process or system changes to fix root causes.
- Collaborate with Sales Ops, Finance, and Engineering teams to automate data reconciliation and reporting workflows.
- Support audits and ensure compliance with internal controls and financial policies.
Cross-Functional Collaboration
- Work closely with Deal Desk, Finance, Billing, Carrier and Product teams to ensure pricing accuracy and cost alignment.
- Partner with Sales Leadership to ensure forecasting and commission calculations reflect true business performance.
- Provide ad-hoc analysis or operational support for strategic CPaaS initiatives.
- Work on Credit Limit Requests.
- Partner with Sales Operations on Forecasting, data extraction and data analysis.
Qualifications
Experience & Knowledge
- Bachelor's degree in Business, Finance, Accounting, Economics, or a related field.
- Possess relevant experience in Revenue Operations, FP&A, Business Operations, or related analytical roles (CPaaS, SaaS, or telecom preferred).
- Strong analytical and financial modeling skills advanced Excel, Power BI, SQL proficiency required.
- Experience with billing, and ERP systems knowledge of data reconciliation processes is a plus.
- Understanding of revenue recognition, cost allocation, and margin management principles.
Skills & Competencies
- Analytical precision: Highly skilled in data validation, variance analysis, and identifying trends or anomalies.
- Financial acumen: Deep understanding of P&L drivers, gross margin analysis, and commission logic.
- Process-driven mindset: Ability to map, optimize, and document financial workflows for scale.
- Technical agility: Comfortable navigating large datasets, system exports, and BI tools.
- Stakeholder management: Communicates insights clearly to both technical and non-technical audiences.
Character & Personality Traits
- Detail-obsessed: Never let a discrepancy go unexplained.
- Ethical & trustworthy: Handles sensitive financial data with integrity and confidentiality.
- Proactive problem-solver: Spots risks early and takes initiative to fix them.
- Collaborative: Works effectively with cross-functional teams under tight deadlines.
- Curious & resourceful: Always seeks to understand how data connects across systems.
- Calm under pressure: Maintains accuracy even when juggling multiple high-stakes tasks
