Finance Data Analyst: Insightful Analytics & Automation

American Credit Acceptance, LLC; Spartanburg (SC); On-site; USD 65,000 - 90,000; Full time

Job summary

American Credit Acceptance, LLC is seeking a data analytics professional to deliver accurate financial analyses and data-driven recommendations across Finance, Capital Markets, and leadership teams. You will develop scalable analytics solutions, automate dashboards, and support modeling efforts to improve enterprise performance.

Responsibilities include partnering with multiple teams, leveraging SQL and Python, and applying AI-enabled approaches to enhance productivity and insights.

Qualifications

• Bachelor’s degree in Finance, Business Analytics, Economics, Statistics, Data Science, or related field.
• Strong analytical and problem‑solving skills with the ability to connect data to financial and business outcomes.
• Strong communication, presentation, time‑management, and problem‑solving skills, with autonomy in a fast‑paced environment.

Responsibilities

• Analyze financial and operational data to identify trends, risks, and opportunities across P&L drivers, FV, CECL, tax, liquidity, and reporting.
• Build, maintain, and automate dashboards, reports, databases, and analytical solutions using SQL or Python and visualization tools.
• Develop and support FV, CECL, vintage, and other financial or statistical models, including data prep, validation, monitoring, testing, and documentation.
• Partner with Finance, Accounting, Treasury, Internal Audit, Legal, Compliance, Servicing, and other teams to translate needs into scalable analytics solutions.
• Present analytical findings and recommendations to leadership and contribute to reporting modernization and data governance.

Skills

SQL

Python

Power BI

Tableau

Data Viz

Analytics

Education

Bachelor’s degree in Finance/Analytics/Related field

Tools

Power BI

Tableau

Sigma

Excel

Job description

American Credit Acceptance, LLC is seeking a data analytics professional to deliver accurate financial analyses and data-driven recommendations across Finance, Capital Markets, and leadership teams. You will develop scalable analytics solutions, automate dashboards, and support modeling efforts to improve enterprise performance.

Responsibilities include partnering with multiple teams, leveraging SQL and Python, and applying AI-enabled approaches to enhance productivity and insights.