The posting
Job Summary
The Revenue Systems and Analytics Officer is responsible for developing and managing SPI's revenue, receivables, collections, and reporting systems. The role serves as the bridge between Finance and Technology by automating revenue recognition, accounts receivable monitoring, collection tracking, and management reporting. The position will lead the development of a centralized Revenue Control Tower that provides real-time visibility into receivables, collection performance, aging trends, revenue recognition, and operational bottlenecks, reducing reliance on manual spreadsheets and improving cash flow management.
Duties and Responsibilities
Revenue and Receivables Analytics
• Develop and maintain automated dashboards and reports for Accounts Receivable, collections, aging, and revenue recognition.
• Monitor AR performance, collection trends, delinquent accounts, and cash collection forecasts.
• Generate management reports including AR aging, collection forecasts, DSO, and top overdue accounts.
Systems Development and Automation
• Design, develop, and maintain databases, applications, and automated tools supporting revenue and receivables management.
• Automate revenue recognition calculations, aging schedules, exception reports, and management of dashboards.
• Integrate data from billing, collections, contracts, and accounting systems into a centralized platform.
Collection Intelligence and Exception Management
• Develop analytics that identify collection priorities, aging risks, and collection of bottlenecks.
• Create automated monitoring for items requiring follow-up, reconciliation, re-computation, output resolution, or payment processing.
• Build exception reporting for overdue accounts, duplicate billings, reversals, and data quality issues. Data Governance and Reporting
• Establish and maintain data standards for revenue and receivable information.
• Ensure accuracy, completeness, and integrity of data used for management reporting.
• Develop KPI dashboards and executive reports to support decision-making.
Technical Competencies and Skills
• System Programming and Data Analytics • Management Reporting • Financial Modeling • Can make effective presentations • Can read and understand complex text/plans • Can work with deadlines and complete work in a timely manner
Education, Trainings and Licenses Required
• Bachelor's degree in information technology, Computer Science, Information Systems, Data Analytics, Engineering, Accounting Information Systems, or related fields. • Experience in programming, database management, business intelligence, reporting, or systems development. • Knowledge of SQL, Power BI, Excel Power Query, automation tools, and data analytics. • Experience in finance, revenue management, receivables



