Senior Analyst, Remarketing Analytics

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.

Required Experience, Qualifications, and Competencies

• 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

Preferred Qualifications

• 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.