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ICOMM, Inc.
Forest Park, Illinois · Full-time
Overview ICOMM is looking for detail-oriented and analytically driven Data Analysts to join our growing Business Intelligence team. In this role, you will work on a variety of analytics initiatives, oversee high-volume invoice processing workflows, and transform complex financial and operational data into actionable insights that drive strategic decisions across the organization. Duties Manage and optimize high-volume invoice processing pipelines, including validation, exception handling, three-way matching (PO, receipt, invoice), and automated approval routing. Execute end-to-end analytics solutions — from data discovery and profiling to detailed data loading. Integrate invoice and accounts payable data from ERP systems (SAP, Oracle, Dynamics), procurement platforms, and third-party vendors into centralized analytics environments with full auditability. Analyze invoice lifecycle metrics — including cycle times, dispute rates, early payment discount capture, and duplicate payment risk — and present findings to finance leadership with clear recommendations. Apply anomaly detection and pattern recognition techniques to identify billing errors and process bottlenecks before they impac
· 3+ years of experience in a data analyst or business intelligence role. Demonstrated experience with high-volume invoice processing workflows, including three-way matching, exception management, duplicate detection, and AP automation platforms (e.g., Coupa, Basware, or Ariba). Demonstrated ability to apply advanced analytical techniques — including statistical modeling, trend analysis, cohort analysis, and KPI framework design — to large, complex financial datasets. Proven experience integrating financial data from ERP systems and accounts payable platforms, with solid understanding of invoice lifecycle stages, payment terms, and accrual accounting concepts. Solid understanding of financial analytics domains, including accounts payable, procurement, spend analytics, and working capital o
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