Consultant, Chargebacks

Responsibilities

• Responsible for setup and maintenance of customer contracts, pricing, and membership management within Model N systems.
• Ensure pricing, membership, class of trade, and chargebacks are processed according to contractual requirements and internal SOC controlled processes.
• Load client pricing and maintain membership submitted by group purchasing organizations
• Work with wholesalers, distributors, and clients on inquiries and resolve chargeback errors associated with pricing, membership, eligibility, dating and claims data.
• Support ongoing software testing and new client UAT
• Understand pharmaceutical contracts and key business issues; facilitating responses to non-routine situations and events; consulting with managers and key stakeholders to make well-informed decisions.
• Prepare reports, status trackers and client deliverables.
• Assist in managing ongoing client relationships and interface with clients to resolve specific issues.
• Respond to customer and client inquiries regarding processing status, reconciliation questions, data discrepancies and payment status.
• Continually strive to improve our business services processes and programs to enhance operational efficiency.

• Bachelor’s degree in Accounting, Finance, Business, or related field
• 3+ years of experience in related field
• Familiarity with pharmaceutical industry, strongly preferred.
• Must be able to comprehend and/or learn complex contract language and government compliance requirements while retaining, building upon, and applying this knowledge daily.
• High degree of analytical skills
• Experience working in mandated deadline environment and effective management of multiple client assignments.
• Strong written and verbal communication skills.
• High accuracy rate and attention to detail.
• Experience with Microsoft Office products required and knowledge of advanced Excel techniques such as VLOOKUP, pivot tables, and data importing are desired.
• Ability to produce client-ready deliverables to a high-level professional clientele.
• Ability to solve complex data issues with attention to detail.
• Technical ability to understand underlying data structures and deal with large amounts of data.