Lead Analyst, Pre-Owned Forecasting
4 weeks ago
Rivian is a pioneering company that's revolutionizing the electric vehicle industry. Our mission is to keep the world adventurous forever, and we're committed to making a positive impact on the environment.
Role SummaryWe're seeking a highly skilled and motivated Lead Analyst, Pre-Owned Forecasting to join our team. This role is critical in shaping the core modeling functions for our used vehicle and lease return business. The ideal candidate will have a strong background in modeling, demand planning, and data analysis within an OEM environment, with a particular emphasis on electric vehicles.
Responsibilities- Develop and enhance core modeling functions related to Rivian's used vehicle and lease return business, including designing and implementing models to predict vehicle values, manage inventory, and optimize remarketing strategies.
- Contribute to and refine the used Rivian vehicle valuation model for trade-in scenarios, ensuring accuracy and reliability in the valuation process to support business objectives.
- Analyze and interpret data related to vehicle performance, market trends, and customer behavior, utilizing insights to inform decision-making and improve modeling accuracy.
- Work closely with other departments, including product development, finance, and sales, to ensure alignment and integration of business modeling efforts across the organization.
- Develop and manage demand planning processes to forecast vehicle returns and used vehicle inventory needs accurately.
- Prepare and present reports on modeling results, valuation accuracy, and market trends to senior leadership and other stakeholders.
- Identify opportunities for process improvements and efficiencies within the business modeling and remarketing functions, implementing best practices and innovative solutions.
- Bachelor's degree in Engineering, Business, Mathematics, or a related field. Advanced degree or relevant certifications are a plus.
- Minimum of 4 years of experience in an OEM environment, with significant emphasis on business modeling, demand planning, and data analysis.
- Proven expertise in modeling techniques, data analysis, and forecasting methods, with proficiency in relevant software and tools.
- Extensive experience and knowledge of electric vehicles is highly desirable, with familiarity with the unique aspects of EV market dynamics and valuation.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
- Excellent verbal and written communication skills, with the ability to effectively present information and interact with stakeholders at all levels.
- Demonstrated ability to manage multiple projects simultaneously, with a strong focus on delivering results within deadlines.
Salary Range/Hourly Rate for San Francisco Bay Area Based Applicants: $121,800-152,300/yr (actual compensation will be determined based on experience, location, and other factors permitted by law)
Benefits SummaryRivian provides robust medical/Rx, dental, and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.
Equal OpportunityRivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [insert email address].
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