The Rebate Analyst is responsible for in-depth data mining and analysis of supplier SPA reconciliation. The rebate analyst will work directly with external suppliers, as well as our internal supply chain team, to assess if payback is justified as well as build processes to ensure accuracy on a go-forward basis. The rebate analyst functions as lead person on special projects as assigned by manager on more complex suppliers and rebates.

• Manages claim resolution process for assigned supplier lines.
• Helps with daily day questions and inquiries for stores regarding rebates.
• Reconcile rebate reports and credits provided by vendors to match with MMS system.
• Works to maintain claim dollars where justified.
• Functions as liaison between purchasing, supplier relations and supplier for claim resolution.
• Functions as point of contact for rebate application used to collect data and research findings.
• Identifies process improvement opportunities.
• Assist with bringing other vendors into centralized support for claim reconciliation.
• Participate in weekly supplier calls to collaborate and ensure alignment.

• Strong Microsoft Office skills, particularly Microsoft Excel.
• Ability to operate various types of office equipment including computers.
• Ability to communicate clearly and concisely, both orally and in writing.
• Ability to prioritize and manage day-to-day activities.
• Strong interpersonal and communication skills, both written and verbal is required.
• Ability to have effective and collaborative cross-functional interactions.
• Willingness to accommodate temporary working hour changes as required by workflow.
• Ability to prioritize tasks, problem-solve, and demonstrate a willingness to accept new challenges.
• Required to analyze and interpret complex data. 

• This is a full time position.
• Days and hours of work are Monday through Friday, 8:00 a.m. - 5:00 p.m.
• The employee must work 40 hours each week to maintain full-time status.

• High school diploma or GED required, Bachelor's Degree preferred.
• 2 years required, 3 years preferred of pricing, purchasing or finance analytical experience.
• 2 years required, 3 years of manipulating data files.
• 2 years required, 3 years of loading data files into data management systems.