Lead Data Analyst - Vendor Success

What We Need

Corpay is currently looking to hire a Lead Data Analyst – Vendor Success within our Corporate Payments division. This position falls under our Corpay line of business on the Data & Analytics team and is located in Richmond, VA. In this role, you will lead vendor master data analysis, data quality initiatives, reporting, and insights that support vendor matching, card retention, and revenue-generating initiatives.

This role requires someone who can operate as a senior individual contributor, partner cross-functionally with internal stakeholders, and translate complex operational needs into actionable data solutions. The Lead Data Analyst will play a key role in improving vendor data integrity, identifying trends and gaps, developing reporting solutions, and helping drive process improvements across Vendor Success, Operations, Implementation, Sales, and Engineering.

This is a critical role that impacts revenue, vendor engagement, and overall program performance. You will report directly to the Vendor Success Manager and regularly collaborate with Operations, Implementation, Engineering, Sales, and Data & Analytics teams.

As a Lead Data Analyst – Vendor Success, Corpay will set you up for success by providing:

• Assigned workspace in one of our offices, such as Peachtree Corners, GA or Brentwood, TN
• Company-issued equipment
• Cross-functional visibility and partnership with key business teams
• Opportunities to lead reporting, process improvement, and vendor data initiatives

• Leading the management, maintenance, and continuous improvement of master vendor data
• Analyzing vendor records to identify duplicates, gaps, trends, and data quality issues
• Matching, merging, and validating vendor records to support clean and accurate data
• Developing and maintaining recurring reports, dashboards, and insights related to vendor data, card retention, and operational performance
• Supporting and helping lead card retention initiatives through data analysis, reporting, and stakeholder partnership
• Translating business and operational needs into clear technical requirements for Engineering, Data, and Operations teams
• Partnering with internal stakeholders to identify opportunities for automation, process improvement, and better data governance
• Presenting findings, trends, and recommendations to business leaders and cross-functional teams