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Job Description
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.
Responsibilities
Minimum Qualifications:
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
This position is a salary grade 7-8.
This position is a range of salary grades 7-8.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-Hybrid
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.
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
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
- 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
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is a salary grade 7-8.
This position is a range of salary grades 7-8.
- Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week *
- Visa Sponsorship is not provided for this role*
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-Hybrid
Key Skills
Ranked by relevance
data analysis
python
data mining
power bi
tableau
excel
sql
sas
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- Posted
- Oct 31, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Dearborn
- Company
- Ford Motor Company
Industries
Motor Vehicle Manufacturing
Categories
Engineering
Information Technology
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