Overview
The Revenue Operations Specialist is responsible for the accuracy and integrity of revenue-related data, forecasting, and reporting across the organization. The role acts as the central coordination point between Business Development, Sales, Delivery, Project Management, and Finance to ensure reliable revenue visibility.
By maintaining accurate data, producing actionable insights, and improving processes through automation and reporting optimization, this role strengthens forecast accuracy, operational governance, and leadership visibility into business performance and growth opportunities.
The ideal candidate brings strong commercial awareness, analytical rigor, attention to detail, and the ability to collaborate effectively across multiple stakeholders.
Key Responsibilities
Revenue Data Management & Reporting
Record, validate, and maintain accurate revenue data on a daily basis
Maintain up-to-date revenue trackers, pipeline reports, dashboards, and performance metrics
Prepare recurring and ad-hoc revenue reports and dashboards for leadership and business stakeholders
Monitor data quality and ensure consistency across systems and reporting tools
Revenue Forecasting & Modeling
Design, maintain, and improve revenue forecasting models aligned with pipeline, delivery, and capacity planning
Conduct scenario and sensitivity analysis to support strategic decisions
Analyze historical data, market trends, and operational indicators to improve forecast accuracy
Collaborate with Finance and Sales Leadership to validate assumptions and align on business outlook
Support quarterly and annual planning cycles through revenue analysis and forecasting insights
Cross-Functional Collaboration
Work closely with Business Development, Sales, Project Management, Delivery, and Finance to validate revenue information and project milestones
Facilitate regular review sessions to reconcile revenue data and ensure reporting accuracy
Serve as the key liaison across departments for revenue reporting and forecasting activities
Business Insights & Analytics
Analyze revenue trends, operational risks, and growth opportunities to support business performance
Support management reporting through meaningful analytics, presentations, and business commentary
Process Ownership & Continuous Improvement
Support end-to-end revenue operations processes with a focus on accuracy, consistency, and governance
Develop and maintain process documentation, SOPs, and reporting standards
Identify opportunities to automate manual tasks and improve operational efficiency
Drive adoption and effective utilization of CRM, reporting, and BI platforms
Scope and Authority
Owns the accuracy and integrity of organizational revenue data and reporting
Escalates risks, inconsistencies, and forecast variances to relevant stakeholders when required
Has no direct reports; influences outcomes through cross-functional coordination rather than direct authority
Person Specifications
Educational Qualifications
Bachelor's Degree in Business Administration, Finance, Accounting, Data Analytics, Economics, or a related discipline
Experience
2-3 years in Revenue Operations, Business Analysis, Finance, or Sales Operations
Experience in revenue forecasting, business planning, and performance analytics
Exposure to CRM platforms (Salesforce, Pipedrive, HubSpot, or similar) preferred
Experience with BI tools such as Power BI or Tableau is an advantage
Experience in a fast-paced technology, consulting, or services-driven environment preferred
Technical Competencies
Advanced Excel skills, including forecasting, scenario modeling, and data analysis
Proficiency in Power BI and data visualization/presentation tools
Strong understanding of revenue operations, reporting methodologies, and forecasting principles
Ability to interpret complex data and convert it into actionable recommendations
Behavioral Competencies
Strong attention to detail and accuracy
Excellent communication and stakeholder management skills
Proactive, adaptable, and solution-oriented mindset
Able to manage multiple priorities independently and collaboratively under tight timelines