Copart
Manager / Senior Manager, Strategic Analytics
Dallas, TX - Headquarters · Senior
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About the role
- We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
- The role reports to the Director of Analytics and will be leveled at Manager or Senior Manager based on experience.
Responsibilities
- Lead, hire, and develop a team of 2-5 analysts and senior analysts, including performance management, formal coaching, and career growth; at the Senior Manager level, may also oversee team leads or managers
- Lead the team's adoption of AI - designing and deploying AI agents, automated workflows, and reusable analytical tools that increase the speed, scale, and consistency of the team's work
- Apply and review rigorous methods, including experiment design, causal inference, and like-for-like comparisons that control for mix, so that recommendations hold up under executive scrutiny
- Act as a trusted advisor to Sales, Operations, Product, Marketing, Finance, and IT partners - aligning stakeholders and driving the business changes that the analysis recommends
- Own projects end-to-end: break ambiguous business questions into issues and sub-issues, build work plans, delegate effectively, and manage to deadlines
- Manage upward and communicate with executives: set expectations and timelines, and turn complex findings into clear, compelling recommendations through storytelling and data visualization
- 5+ years of professional experience in strategy, analytics, or consulting, with a preference for 8+ years, including 1+ years leading people or serving as a project lead
Requirements
- Hands-on proficiency in SQL and Python, cloud data warehouses (e.g., BigQuery), and BI and visualization tools (e.g., Tableau, Power BI) - sufficient to build, review, and unblock the team's work
- Applied experience with experiment design and causal inference, and the judgment to recognize when a comparison is not apples-to-apples
- Required Skills and Experience:
Nice to have
- Management consulting experience, including hypothesis-driven problem solving and executive-ready storytelling
- Experience in insurance, automotive, auctions or marketplaces, or logistics
- Formal people-management experience, including performance reviews and compensation cycles
- Experience leading an analytics team through a shift to AI-enabled ways of working
- A leadership role on an established, high-visibility strategy team whose work directly shapes decisions by Copart's senior leadership
- Broad exposure across Sales, Operations, Product, Marketing, and Finance, with direct partnership with executive leadership
- A clear growth path, supported by a defined competency model and career framework, with room to take on broader scope and leadership as the team grows
- What You'll Gain:
Skills
- Bachelor's degree in a quantitative field such as Business, Economics, Math, Statistics, or Engineering; MBA or Master's preferred
- Proven ability to structure ambiguous problems, prioritize high-leverage work, and make sound decisions with incomplete information
- Exceptional communication skills, including presenting to and influencing VP- and C-level audiences
- Demonstrated ability to coach, mentor, and grow analytical talent
Compensation
- Formal people-management experience, including performance reviews and compensation cycles
Benefits
- Medical/Dental/Vision
- ESPP - Employee Stock Purchase Plan
- Vacation & Sick pay
- Along with many other employee benefits.
- Set priorities with senior leadership, aligning the team's project portfolio to company goals and translating those goals into a clear vision for the team
Company info
- We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
- At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration.
Visa & Work Authorization
- Citizenship and Immigration Services' E-Verify program (For U
This listing is sourced directly from Copart's careers page and normalized into a canonical job model.