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AP Analyst

CFS, Cranberry, PA, United States

Salary max: $28.00

Duration: Full Time


Accounts Payable Analyst
📍 Cranberry Twp, PA 16066 (Hybrid)
💲 $60,000–$70,000 | Full-Time


The Accounts Payable Analyst is responsible for the accurate and timely processing of vendor invoices while supporting strong financial controls within the procure-to-pay cycle. This role involves detailed invoice review, purchase order matching, vendor reconciliations, and payment processing, along with exposure to broader accounting operations such as month-end close and sales order support.


The ideal candidate is detail-oriented, highly organized, and comfortable working with financial data and ERP systems in a fast-paced, collaborative environment.




Accounts Payable Analyst Key Responsibilities



  • Perform three-way matching of vendor invoices, purchase orders, and receiving documentation

  • Review and analyze invoices for accuracy, completeness, and policy compliance

  • The AP Analyst will enter and code invoices in the ERP system with proper account allocation

  • Process vendor payments (ACH, wire transfers, and check runs)

  • Reconcile vendor statements and investigate discrepancies or outstanding items

  • Respond to vendor inquiries and resolve billing or payment issues in a timely manner

  • The AP Analyst will maintain accurate and organized AP records and documentation

  • Support month-end close, including accruals, reporting, and reconciliations

  • Assist with sales order and work order administration as needed

  • Identify process improvement opportunities within the procure-to-pay cycle

  • The AP Analyst will ensure compliance with internal policies and accounting standards

  • Support ad hoc financial analysis and reporting




Preferred Qualifications of the Accounts Payable Analyst Role



  • 2–5 years of experience in Accounts Payable, Accounting, or Finance

  • Working knowledge of accounting principles and bookkeeping practices

  • Experience with ERP systems (Microsoft Dynamics/Navision preferred)

  • Strong Excel skills (pivot tables, formulas, data analysis)

  • Excellent attention to detail and analytical skills