Role: Perform analysis and modeling of residual values, auction prices, and market drivers to support Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and customers Scope: Used Vehicle Residual Values and Used Vehicle Market
Responsibilities:
Develop and maintain models to quantify the relationship between auction prices and key residual values drivers
Develop and maintain models to optimize the distribution of remarketing vehicles
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
Provide data analysis visualization and prepare presentation materials to share with management and business customers
Analyzes and evaluates remarketing programs development, progress and performance
Analyze and interpret model results to identify key trends and insights
Skills Required:
2+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)
Cloud computing platforms like GCP
Ability to effectively communicate, both verbal and written, across different levels of the organizations
Excel and PowerPoint
Skills Preferred:
Proficiency in Python for data analysis and model development
Proficiency with SAS
Strong data visualization skills using Qlik Sense
Experience with data engineering and pipeline development
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
Experience Required:
2+ years of experience using advanced modeling (including machine / deep learning, statistical, econometric, optimization, etc.) and simulation techniques in a business or academic environment
Experience Preferred:
3+ years of auto industry related work (auto marketing and sales experience a plus)
Education Required:
Master's degree in Statistics, Econometrics, Data Science, or related field