Staff Accountant

Our global Fortune 500 client, with U.S. headquarters in Charlotte, NC, is a world class food service provider with a strong presence across the nation. Celebrating almost 30 years in North America, this employee-focused company has received honors for diversity and inclusion, innovation, health and wellness, and company culture. CRG has successfully placed over 220 employees within the last 7 years within this organization, known for its continuous growth opportunities, fantastic benefits package, innovative technology, flexible work environment, and collaborative culture. HYBRID Schedule: Monday- Friday (flexible within core business hours) 2 days REMOTE Location: Charlotte, NC Responsibilities Manage recognition, allocation, reporting, and analysis of supplier volume allowances for internal and external customer groups. Conduct trend analysis to confirm accurate income reporting and accrue any missing allowances prior to period close. Maintain accuracy of purchasing balance sheet accounts in compliance with GAAP, IFRS, and organizational accounting standards. Reconcile accounts receivable for assigned suppliers and resolve discrepancies in a timely and precise manner. Prepare and record journal entries as required for monthly and quarterly financial activities. Develop and analyze monthly financial reports for both internal stakeholders and external partners. Complete daily and month-end accounting tasks accurately and on schedule. Process manual invoices and provide financial support to category or procurement management teams. Collaborate effectively across teams and deliver exceptional customer service to internal and external partners. Evaluate and enhance existing financial processes to drive greater efficiency and accuracy. Qualifications Four year degree in Accounting or Finance 1-2 years accounting experience Proficient in Microsoft Office (Strong Excel skills required, Access database skills a plus) Experience with SAP preferred Experience with a large company preferred Experience processing large volumes of complex data #J-18808-Ljbffr