Position Description:
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
Education Preferred:
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information :