Sr. Analyst - Data Scientist

Position Description

The Sr. Data Scientist, Expansion Planning & Analysis, is part of a team that provides analytical support behind CarMax's investment in geographic expansion and related growth initiatives, within the Treasury department. This position provides a driven strategic financial thinker the opportunity to help build a Fortune 500 company in the midst of national expansion.

This individual will have strong analytic skills, grasping the big picture while creating analyses and quantitative models with sharp attention to detail and strong intellectual curiosity. This individual will possess a strong ability to effectively partner with a variety of departments, at all levels of the organization, to facilitate sound decision-making in CarMax's investment activity.

Responsibilities for this role include, but are not limited to:

• Take a lead role in the all aspects of predictive analytic tools used by the broader EP&A team; i.e. the development, evaluation, implementation, maintenance, and enhancement of predictive models and processes
o Build and maintain tools and data sets used for New Store Investment analyses
o Closely integrate with the broader team to effectively consult and problem solve on sales forecasting applications
o Maximize process efficiency and automation for broader team

• Analyze store performance versus expectations
o Uncover key drivers of unexplained sales variation
o Apply findings to create or refine predictive models
o Identify and communicate operational opportunities
o Validate current forecast models and business assumptions

• Partner with internal teams to help develop sound investment profiles for decisions and initiatives with geo-spatial, consumer demand, or physical expansion components
o Gather inputs & appropriately challenge assumptions
o Create financial models to provide visibility on expected and actual financial impact (ROI, earnings)
o Help translate between operational metrics and financial outcomes
o Effectively communicate findings, verbally and through written presentations, to peers and management

• Demonstrate strong results focus, project management, and teamwork to complete ad-hoc analyses across a variety of business areas

Position Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Demonstrated top caliber analysis, strategic thinking, and financial modeling skills
o Ability to apply business and technical knowledge to evaluate and solve complex problems, produce results, and make recommendations
o Analytical curiosity and ability to flex between big picture strategic thinking and sharp attention to detail
o Ability to develop, adjust and execute plans to obtain desired, timely results
o Ability to deliver great results while simultaneously managing several projects

• Strong reasoning ability
o Ability to assimilate numerous qualitative and quantitative inputs in the face of ambiguity and drill down to a good decision
o Ability to identify and analyze problems, generate and evaluate alternative solutions, and develop recommendations

• Excellent interpersonal, communication, and courageous leadership skills
o Ability to build and maintain strong relationships throughout the organization, and collaborate with other departments
o Ability to communicate in a clear, concise, and open manner through verbal, written, and non-verbal methods, to audiences of various sizes and levels

• Undergraduate degree in relevant quantitative field (e.g. Mathematics, Statistics, Computer Science, Finance, Economics), with an excellent academic record
• Graduate degree desirable, but not required
• 3+ years of experience in an analytical role
• Experience with advanced quantitative analytical techniques, such as statistical modeling, test design and measurement, data science, financial DCF modeling, etc.
• Strong computer skills: Excel, PowerPoint, programming languages

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