Associate Director, Remarketing Analytics
18 days ago
Addison
Job Description Position Summary: The Associate Director of Remarketing Analytics will lead the execution of analytical initiatives supporting Stellantis Financial Services used vehicle operations, including retail, lease, and Stellantis-owned assets. Reporting to the Senior Director of Product Development and Analytics for Remarketing, this role is responsible for building scalable analytics infrastructure, delivering actionable insights, and optimizing performance across both downstream and upstream remarketing channels. Essential Duties and Responsibilities • Develop and maintain remarketing analytics tools and dashboards that track key performance indicators, channel performance, and vehicle value recovery across all remarketing segments, • Partner with internal teams including Risk, Digital, and Operations as well as external stakeholders to acquire, validate, and integrate data into scalable analytics frameworks, • Lead the execution of predictive and prescriptive models to support pricing, channel selection, and operational optimization, • Ensure data governance, quality assurance, and accessibility standards are met across all analytics outputs to support consistent and reliable insights, • Analyze performance reports and operational data to provide recommendations that improve profitability, efficiency, and stakeholder satisfaction, • Support the development of business cases and strategic initiatives by delivering data-driven insights and competitive research, • Mentor analysts and guide technical development while fostering a team culture of accuracy, agility, and continuous improvement Required Experience: • Five (5) years minimum experience in a professional analytics role., • Hands-on expertise in SAS, Python, SQL, BI Tools , and Version Control, • Demonstrated experience deploying analytics products into production. Travel 0-10% - as required on an as needed basis. This is a hybrid, in-office position. Must have reliable transportation and live within a commutable distance to one of the following cities: Dallas, TX; Detroit, MI Qualifications Preferred: • Master’s degree in Data Science, Analytics, Computer Science, Statistics, or related field., • Relevant experience working in enterprise-scale data environments., • Background in Agile or DevOps practices., • Familiarity with CI/CD pipelines and cloud environments (Azure, AWS, GCP). While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Work Schedule: This position requires the ability to work various shifts to accommodate business needs. Typically, between the hours of 8AM-6PM Monday through Friday and on weekends as needed. Travel is required 10% of the time. Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.