Job Description

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We are seeking a highly capable and analytical individual to join our Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team. The primary responsibility of this role is to perform in-depth analysis and modeling of used vehicle residual values, auction prices, and market drivers for the U.S. and Canadian used vehicle markets. The analyst will play a crucial role in supporting key business processes through accurate forecasting, quantifying value gaps, and providing actionable insights to management and business customers.

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Responsibilities

• Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers
• Provide used vehicle residual value forecasting to support key business processes
• Quantify and decompose used vehicle residual value gaps between brands and vehicles
• Provide data analysis visualization and prepare presentation materials to share with management and business customers
• Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices
• Execute both descriptive and inferential ad hoc requests for management and business customers in a timely manner
• Analyze and interpret model results to identify key trends and insights

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Qualifications

Minimum Qualifications:

• Master’s degree in Statistics, Econometrics, Data Science, or related field
• 1+ years of experience conducting statistical analysis in a business or academic setting
• 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.)  AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)
• Ability to effectively communicate, both verbal and written, across different levels of the organizations
• Experience with Excel and PowerPoint

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Preferred Qualifications:

• 3+ years of Auto industry related work (used vehicle market experience a plus)
• Proficiency in Python for data analysis and model development
• Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining
• Have excellent time management skills and be able to handle working on multiple projects at the same time
• Be able to make reasonable judgments and conclusions with limited information and resources
• Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts
• Be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
• Be aspirational and curious in technical excellence and innovation
• Have a lifetime learning attitude

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