Data Analyst and Complex Invoice Processor

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 impact financial close cycles.
• Monitor data quality, completeness, and consistency across invoice and financial datasets; implement automated alerting and data validation checks to ensure reporting accuracy.

Necessary Experience and Qualifications

• · 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 optimization, along with dimensional modeling concepts for financial reporting.
• Proficiency in Microsoft Excel for analysis, including pivot tables and data connection management.
• Strong analytical thinking with a track record of delivering data\-driven insights to non\-technical audiences.
• Experience implementing data quality frameworks and anomaly detection processes to identify invoice discrepancies, billing errors, and compliance risks within large\-scale AP datasets.

Pay: $45,000\.00 \- $65,000\.00 per year

Benefits:

• 401(k)
• 401(k) 3% Match
• Dental insurance
• Disability insurance
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Prescription drug insurance
• Vision insurance
• Work from home

Work Location: Hybrid remote in Forest Park, IL 60130