Job Description
We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where
Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
In this position...
The Whitespace Analytics team at Ford is at the forefront of shaping the future of automotive. We're focused on understanding emerging product demand as we plan for an electrified future and a new generation of vehicles. Our work is dynamic and requires creative problem-solving, developing novel methodologies, and leveraging diverse data sources. We are seeking a highly resourceful and innovative analyst to join our team. You will be tackling challenging, often undefined business problems, contributing directly to Ford's strategic planning. If you thrive in a fast-paced environment and enjoy pushing the boundaries of what's possible, we encourage you to apply
Although the team is normally onsite one day a week, onsite work of up to three days per week may be required.
Responsibilities
What you'll do…
- Forecast US Industry electric vehicle demand and develop pricing and demand assumptions for future Portfolio vehicles
- Dimension sales volume expectations for FMC’s planned presence in key retail segments
- Provide vehicle pricing perspective on newly planned Whitespace introductions including new powertrains utilizing and expanding upon current methodologies
- Utilize advanced modeling and simulation techniques to generate modeling scenarios to support strategic business decisions, optimizing the performance of Ford Business Units
- Apply attribution modeling, statistics, optimization, operation research and other advanced techniques to solve real-world business problems
- Develop analytical methodologies and specify data requirements by translating business phenomena into appropriate mathematical/regression equations
- Use ‘outside the box’ thinking and modeling to answer difficult questions in an environment with little information and resources
- Work with the customer to determine the underlying business question / need
- Be able to quickly convert a real business question into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
- Apply business acumen to the problem and solution vs. a solely data-based approach
- Familiarity with Ford’s vehicles, attention to detail, time management, willingness to learn, ability to handle multiple projects at a time, excellent communication and data presentation skills
Qualifications
You'll have...
- Graduate/Master's degree in quantitative field i.e. Statistics / Data Analytics / Mathematics / Economics / Physics or related field or a combination of education and equivalent work experience
- 2 + years of work experience that includes statistical analysis, data visualization (ex: QlikSense, Tableau, Power BI), data modeling, or optimization.
- 2+ years of experience using statistical software (R/Python, etc.), query languages or software, such as Big Query, SQL, Hadoop/Hive, Alteryx along with Microsoft Office programs, especially Excel and PowerPoint.
Even better, you may have...
- Ph.D. in quantitative field such as Statistics, Economics, Data Analysism Applied Mathematics, Physics or related field
- Automotive experience
- The ability of carrying out independent technical work in close collaboration with business-partners.
- Enabling Ford to keep competitive advantage in terms of state-of-the-art business modeling and advanced analytical capabilities
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
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 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 childcare 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.
For more information on salary and benefits, click here:
https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf
This position is a range of salary grades
6-8.
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
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.
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