Position Summary:The Senior Analyst, Remarketing Analytics is responsible for delivering advanced, data-driven insights
across the remarketing lifecycle to optimize asset performance and maximize returns. This role partners
cross-functionally to analyze key initiatives, identify trends and opportunities, and influence strategic
decision-making through clear and compelling storytelling. The Senior Analyst develops scalable
analytics solutions, enhances reporting capabilities, and serves as a subject matter expert to elevate team
performance and ensure data integrity.
Essential Duties and Responsibilities:- Deliver advanced analytics across the remarketing lifecycle, driving projects from problem
- definition through modeling and insight generation to optimize proceeds, cycle time, and channel performance.
- Monitor remarketing performance, identifying trends, risks, and opportunities and translating them into actionable insights.
- Lead and support strategic initiatives and testing, partnering cross-functionally to design analyses, define success metrics, and evaluate outcomes.
- Translate complex data into clear, actionable insights, tailoring communication for stakeholders, including senior leadership.
- Develop and maintain scalable analytics solutions, automating reporting and standardizing data, metrics, and business rules.
- Build and manage dashboards and scorecards, providing visibility into key remarketing KPIs and performance trends.
- Serve as a subject matter expert in remarketing analytics, promoting best practices in analysis, data governance, and data quality.
- Mentor and support junior analysts, enhancing team analytics capability and effective storytelling.
- Collaborate cross-functionally to align data definitions, resolve discrepancies, and ensure actionable, business-aligned insights.
- Perform other duties as assigned.
Qualifications and Competencies RequiredRequired Experience:- Minimum of five (5) years of experience in analytics, preferably in auto finance, automotive, or a
- related industry
- Advanced proficiency with SQL, Fabric, Python, R, or other business intelligence software.
- Advanced proficiency with Microsoft Office Suite applications such as Excel, PowerPoint, Word,
- and Power BI.
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Experience working with modern data platforms (e.g., Snowflake, Fabric)
- Strong analytical thinking and problem-solving skills
- Ability to translate data into business insights and influence decision-making.
- Proven ability to manage multiple priorities and work independently.
Education:- Bachelor's Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.
Qualifications Preferred:- Master's Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields is a plus
- Familiarity with Salesforce workflows and experience creating Salesforce reports and dashboards
- Prior Auto finance or captive finance industry is highly preferred
Additional Requirements:- Must have reliable transportation and live within a commutable distance to one of the following cities: Auburn Hills, MI, Dallas, TX or Atlanta, GA
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 0% - 10% of the time.
An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.
