About the Role

Copart operates one of the most data-rich businesses in the auto remarketing industry. Every

vehicle, every yard, every auction, every insurance partner relationship generates signal that can feed faster, sharper financial decisions. We are looking for an FP&A Manager who sees that

opportunity and is excited to help build it.

This role is a great fit for someone who enjoys modernizing how FP&A is done at scale, bringing

AI and automation into the core of analysis, and partnering closely with operational and

commercial leaders to influence real outcomes. There will be meaningful work to do in the first

six to twelve months, including refining existing processes, getting close to the data, and building credibility across the organization. For the right person, that is the most rewarding part of the job.

What You Will Own

• Reporting across assigned business areas, including monthly, quarterly, and annual cycles, with a focus on increasing accuracy and shortening turnaround time.
• Management reporting and variance analysis for senior leadership, translating numbers into clear narratives that explain what happened, why, and what to do next.
• Operating partnership with yard operations, commercial, and corporate functions to build budgets, evaluate initiatives, and pressure test business cases.
• Automation and AI enablement across the FP&A stack, identifying manual workflows, designing better ones, and deploying tooling that frees the team to focus on analysis over assembly.
• Capital allocation analytics, supporting investment decisions across yard expansion, technology, and capacity planning.
• Corporate development support, partnering with finance leadership on the acquisition pipeline.
• Direct leadership of a small team, with responsibility for their development, output quality, and growth trajectory.

What We Are Looking For

• Five to six years minimum of progressive FP&A experience, ideally with exposure to operationally complex, multi-location, or transaction-heavy businesses.
• A genuine inclination toward FP&A transformation. You have used or built solutions with tools like Anaplan, Pigment, Workday Adaptive, Power BI, Tableau, Alteryx, or similar, and you are actively exploring how generative AI and agentic workflows can reshape finance work.
• Strong technical foundation in Excel and SQL. Python or scripting experience is a plus. Comfort with large datasets is required.
• Hands-on operator mindset. You build the model yourself when needed. You do not wait for perfect input. You ship a workable version, then improve it.
• Sharp business judgment. You understand that FP&A exists to drive decisions, not produce decks.
• Strong communication. You can hold your own with operators, commercial leaders, and senior executives, and you adjust your register accordingly.
• Bachelor’s degree in finance, accounting, economics, or a related field. MBA, CPA, or CFA Is a plus but not required.

What Will Set You Apart

• Exposure to AI-enabled anomaly detection, or natural language interfaces over financial data.
• Background in industries with high transaction volume, distributed physical operations, or insurance and automotive exposure.
• A track record of developing analysts into stronger contributors.
• Exposure to corporate development, M&A, or transaction support, including building deal models, valuation work, or contributing to diligence and integration analysis.

A Note on Fit

The first ninety days will involve learning a complex business, building trust across functions, and identifying where to apply leverage first. Expect to be hands-on with the data and visible to

leadership early. We are looking for someone who treats that as the fun part.