Payment Sales Analyst

Overview

This role involves supporting transactional payment revenue growth by partnering with sales representatives on pricing strategy, proposal development, and client-facing negotiations. The Payment Sales Analyst analyzes client transaction economics, helps scope Payments projects, and provides analytical support to inform accurate quotes and commercial recommendations.

Responsibilities

• Serve as a quota-carrying role supporting Payment Sales attainment goals for transactional revenue products.
• Develop and maintain knowledge to support sales initiatives, including Tyler Payments, Payments Enterprise Portal, Cashiering, and other Payments organization initiatives.
• Analyze transaction economics, including interchange, assessment fees, processor costs, gateway fees, chargebacks, and other payment-related expenses to determine effective rates and client proposal terms.
• Monitor market pricing trends, competitor pricing models, and changes in the government payments ecosystem.
• Attend sprint reviews and support/implementation calls to understand go-forward strategy and current roadmap items for Tyler Payments.
• Act as a sales resource to understand client needs and requirements before providing Payments-related quotes for transactional revenue products.
• Collaborate with New and Existing Sales Teams to dissect client payment needs and deliver accurate proposals.
• Serve as a subject matter expert in the sales process for client questions related to Payments functionality, project scoping, pricing, industry standards, and payment needs.
• Support Payments opportunities across Tyler within a dedicated market and team.

Qualifications

• 5+ years of experience in payments, fintech, financial services, pricing, commercial strategy, or a related field.
• Strong understanding of payment processing economics, including interchange, assessments, acquiring costs, processor fees, and merchant pricing models.
• Demonstrated experience developing pricing strategies, financial models, or commercial recommendations.
• Strong analytical and quantitative skills, including the ability to work with large, complex datasets.
• Advanced proficiency in Excel and financial modeling; experience with SQL, BI tools, or analytics platforms is a plus.
• Excellent communication and presentation skills, with the ability to translate complex financial concepts into clear business recommendations.
• A degree in finance, economics, analytics, or a related field.